Research

Occluded Gait Recognition via Silhouette Registration Guided by Automated Occlusion Degree Estimation
	C. Xu, S. Tsuji, Y. Makihara, L. Xiang, Y. Yagi, ``Occluded Gait Recognition via Silhouette Registration Guided by Automated Occlusion Degree Estimation,'' Proc. of the 11th IEEE Int. Workshop on Analysis and Modeling of Faces and Gestures, Paris, Oct. 2023.

Online Model-based Gait Age and Gender Estimation
	A. Shehata, M.A. Alsherfawi Aljazaerly, L. Gaher, X. Li, Y. Makihara, Y. Yagi, ``Online Model-based Gait Age and Gender Estimation,'' Proc. of the 7th IEEE Int. Joint Conf. on Biometrics (IJCB 2023), Ljubljana, Sep. 2023. [PDF]

Extended Depth-of-Field Lensless Imaging using an Optimized Radial Mask
	J.R.C.S.A.V.S. Neto, T. Nakamura, Y. Makihara, Y. Yagi, ``Extended Depth-of-Field Lensless Imaging using an Optimized Radial Mask,'' IEEE Trans. on Computational Imaging, 2023. (Accepted)

Analysis of resist images with pattern defects by Hough transform

Y. Jin, T. Kozawa, K. Aoki, T. Nakamura, Y. Makihara, Y. Yagi, ``Analysis of resist images with pattern defects by Hough transform,'' Japanese Journal of Applied Physics, Vol. 62, No. 8, pp. 086502, Aug. 2023. [Publisher's page] Y. Jin, T. Kozawa, K. Aoki, T. Nakamura, Y. Makihara, Y. Yagi, ``Chemical information extraction from scanning electron microscopy images on the basis of image recognition,'' SPIE Advanced Lithography + Patterning, San Jose, California, USA, No. 12498-97, Mar. 2023. [Publisher's page]

Two-stream Graph Convolutional Networks with Task-specific Loss for Dual-task Gait Analysis
	J. Liu, S. Wu, F. Okura, Y. Makihara, Y. Yagi, ``Two-stream Graph Convolutional Networks with Task-specific Loss for Dual-task Gait Analysis,'' Proc. of the 45th Int. Conf. of Engineering in Medicine and Biology Society (EMBC 2023), Jul. 2023.

Characteristics verification of pneumatic artificial muscles for compressive loading
	T. Goto, K. Naniwa, D. Nakanishi, Y. Sugimoto, Y. Yagi, Y. Makihara, T. Nakamura, K. Osuka, ``Characteristics verification of pneumatic artificial muscles for compressive loading,'' Advanced Robotics, Vol. 37, No. 14, pp. 887-899, Jun. 2023. [Publisher's page]

Gait Recognition From Fisheye Images
	C. Xu, Y. Makihara, X. Li, Y. Yagi, ``Gait Recognition From Fisheye Images,'' Proc. of the IEEE Computer Society Workshop on Biometrics 2023, Vancouver, pp. 1030-1040, Jun. 2023. [open access]

Snapshot super-resoluved ToF sensing using depth regularization

H. Kawachi, T. Nakamura, K. Iwata, Y. Makihara, Y. Yagi, ``Snapshot super-resolution indirect time-of-flight camera using a grating-based subpixel encoder and depth-regularizing compressive reconstruction,'' Optics Continuum, Vol. 2, No. 6, pp. 1368-1383, May 2023. [open access] H. Kawachi, T. Nakamura, K. Iwata, Y. Makihara, Y. Yagi, ``Snapshot super-resolution depth measurement using depth regularization and a diffraction grating,'' OSK-OPTICA-OSJ Joint Symposia on Optics 2023, Jeju, No. W1B-XI.03, Aug. 2023. H. Kawachi, T. Nakamura, Y. Makihara, Y. Yagi, ``Snapshot super-resolution time-of-flight imaging by PSF engineering and untrained deep neural-network prior,'' 5th International Workshop on Image Sensors and Imaging Systems (IWISS2022), Hamamatsu, No. 5, Dec. 2022.

Natural Image Matting with Attended Global Context
	Y. Zhang, L. Niu, Y. Makihara, J. Zhang, W. Zhao, Y. Yagi, L. Zhang, ``Natural Image Matting with Attended Global Context,'' Journal of Computer Science and Technology, Vol. 38, pp. 659–673, May 2023. [Publisher's page]

Annotator-dependent uncertainty-aware estimation of gait relative attributes

A. Shehata, Y. Makihara, D. Muramatsu, M. A. R. Ahad, Y. Yagi, ``Annotator-dependent uncertainty-aware estimation of gait relative attributes,'' Pattern Recognition, Vol. 136, No. 109197, pp. 1-13, Apr. 2023 (Published online: 22 Nov. 2022). [open access] A. Shehata, Y. Makihara, D. Muramatsu, M. A. R. Ahad, Y. Yagi, ``Annotator-dependent uncertainty-aware estimation of gait relative attributes,'' Int. Workshop on Symbolic-Neural Learning (SNL 2023), Tokyo, Jun. 2023.

Batch Hard Contrastive Loss
	M.A. Alsherfawi Aljazaerly, Y. Makihara, D. Muramatsu, Y. Yagi, ``Batch Hard Contrastive Loss and Its Application to Cross-view Gait Recognition,'' IEEE Access, Vol. 11, pp. 31177-31187, Mar. 2023. [open access]

Occlusion-aware Human Mesh Model-based Gait Recognition
	C. Xu, Y. Makihara, X. Li, Y. Yagi, ``Occlusion-aware Human Mesh Model-based Gait Recognition,'' IEEE Trans. on Information Forensics and Security, Vol. 18, pp. 1309-1321, Jan. 2023. [open access]

Multi-view Large Population Gait Database with Human Meshes (OUMVLP-Mesh)

X. Li, Y. Makihara, C. Xu, Y. Yagi, ``Multi-view Large Population Gait Database with Human Meshes and Its Performance Evaluation,'' IEEE Transactions on Biometrics, Behavior, and Identity Science (T-BIOM), Vol. 4, No. 2, pp. 234-248, Apr. 2022. [open access] X. Li, Y. Makihara, C. Xu, Y. Yagi, ``Multi-view Large Population Gait Database with Human Meshes and Its Performance Evaluation,'' The 26th SANKEN International Symposium, Suita, Japan, Jan. 2023. [Database page]

Investigating Strategies Towards Adversarially Robust Time Series Classification
	M.G. Abdu-Aguye, W. Gomaa, Y. Makihara, Y. Yagi, ``Investigating Strategies Towards Adversarially Robust Time Series Classification,'' Pattern Recognition Letter, Vol. 156, pp. 104-111, Apr. 2022 (Published online: 31 Jan. 2022). [open access]

Detecting Lower MMSE Scores in Older Adults using Cross-trial Features from a Dual-task with Gait and Arithmetic
	S. Wu, T. Matsuura, F. Okura, Y. Makihara, C. Zhou, K. Aoki, I. Mitsugami, Y. Yagi, ``Detecting Lower MMSE Scores in Older Adults using Cross-trial Features from a Dual-task with Gait and Arithmetic,'' IEEE Access, Vol. 9, pp. 150268-150282, Nov. 2021. [open access]

Early Detection of Low Cognitive Scores from Dual-task Performance Data Using a Spatio-temporal Graph Convolutional Neural Network
	S. Wu, F. Okura, Y. Makihara, K. Aoki, M. Niwa, and Y. Yagi, ``Early Detection of Low Cognitive Scores from Dual-task Performance Data Using a Spatio-temporal Graph Convolutional Neural Network,'' Proc. of the 43rd Annual Int. Conf. of the IEEE Engineering in Medicine and Biology Society (EMBC 2021), pp. 1895-1901, Nov. 2021. [PDF]

Physical Fatigue Detection by Video-based Gait Analysis
	K. Aoki, H. Nishikawa, Y. Makihara, D. Muramatsu, N. Takemura, Y. Yagi, ``Physical Fatigue Detection from Gait Cycles via a Multi-task Recurrent Neural Network,'' IEEE Access, Vol. 9, pp. 127565-127575, Sep. 2021. [open access]

End-to-end Model-based Gait Recognition using Synchronized Multi-view Pose Constraint
	X. Li, Y. Makihara, C. Xu, Y. Yagi, ``End-to-end Model-based Gait Recognition using Synchronized Multi-view Pose Constraint,'' Proc. of the 1st Int. Workshop on Human-centric Trustworthy Computer Vision: From Research to Applications, online, pp. 4106-4115, Oct. 2021. [open access]

Gait Phase Partitioning and Footprint Detection using Mutually Constrained Piecewise Linear Approximation
	M. Yasukawa, Y. Makihara, T. Hosoi, M. Kubo, Y. Yagi, ``Gait Phase Partitioning and Footprint Detection using Mutually Constrained Piecewise Linear Approximation with Dynamic Programming,'' IEICE Trans. on Information and Systems, Vol. E104-D, No. 11, pp. 1951-1962, Nov. 2021 (Published online: 2 Aug. 2021). [open access]

Estimation of Gait Relative Attribute Distributions
	Y. Makihara, Y. Hayashi, A. Shehata, D. Muramatsu, Y. Yagi, ``Estimation of Gait Relative Attribute Distributions using a Differentiable Trade-off Model of Optimal and Uniform Transports,'' Proc. of the 5th Int. Joint Conf. on Biometrics (IJCB 2021), Shenzhen, China (hybrid), pp. 1-8, Aug. 2021. [PDF]

Health Indicator Estimation by Video-based Gait Analysis
	R. Liao, K. Moriwaki, Y. Makihara, D. Muramatsu, N. Takemura, and Y. Yagi, ``Health Indicator Estimation by Video-based Gait Analysis,'' IEICE Trans. on Information and Systems, Vol. E104-D, No. 10, pp. 1678-1690, Oct. 2021 (Published online: 9 Jul. 2021). [open access]

Individuality-preserving Silhouette Extraction for Gait Recognition and Its Speedup
	M. Iwamura, S. Mori, K. Nakamura, T. Tanoue, Y. Utsumi, Y. Makihara, D. Muramatsu, K. Kise, Y. Yagi, ``Individuality-preserving Silhouette Extraction for Gait Recognition and Its Speedup,'' IEICE Trans. on Information and Systems, Vol. E104-D, No. 7, pp. 992-1001, Jul. 2021. [open access]

Uncertainty-aware Gait-based Age Estimation and Its Applications
	C. Xu, A. Sakata, Y. Makihara, N. Takemura, D. Muramatsu, Y. Yagi, ``Uncertainty-aware Gait-based Age Estimation and Its Applications,'' IEEE Trans. on Biometrics, Behavior, and Identity Science (T-BIOM), Vol. 3, No. 4, pp. 479-494, Oct. 2021 (Published online: 14 May 2021). [open access]

Action recognition using Kinematics Posture Feature on 3D skeleton joint locations
	M. A. R. Ahad, M. Ahmed, A. D. Antar, Y. Makihara, and Y. Yagi, ``Action recognition using Kinematics Posture Feature on 3D skeleton joint locations,'' Pattern Recognition Letters, Vol. 145, pp. 216-224, May 2021. [open access]

Learn to Walk Across Ages: Motion Augmented Multi-age Group Gait Video Translation
	Y. Zhang, Y. Makihara, D. Muramatsu, J. Zhang, L. Niu, L. Zhang, Y. Yagi, ``Learn to Walk Across Ages: Motion Augmented Multi-age Group Gait Video Translation,'' IEEE Access, Vol. 9, pp. 40550-40559, Feb. 2021. [open access]

Deep Gait Relative Attributeusing a Signed Quadratic Contrastive Loss
	Y. Hayashi, A. Shehata, Y. Makihara, D. Muramatsu,Y. Yagi, ``Deep Gait Relative Attributeusing a Signed Quadratic Contrastive Loss,'' Proc. of the 25th Int. Conf. on Pattern Recognition (ICPR 2020), online, Jan. 2021. [PDF]

Real-Time Gait-Based Age Estimation and Gender Classification from a Single Image
	C. Xu, Y. Makihara, R. Liao, H. Niitsuma, X. Li, Y. Yagi, J. Lu, ``Real-Time Gait-Based Age Estimation and Gender Classification from a Single Image,'' Proc. of the IEEE Winter Conf. on Applications of Computer Vision 2021 (WACV 2021), online, pp. 1-11, Jan. 2021. [open access]

End-to-end Model-based Gait Recognition
	X. Li, Y. Makihara, C. Xu, Y. Yagi, S. Yu, M. Ren, ``End-to-end Model-based Gait Recognition,'' Proc. of the 15th Asian Conf. on Computer Vision (ACCV 2020), Kyoto, Japan (online), pp. 1-17, Dec. 2020. [open access]

DeformGait: Gait Recognition under Posture Changes using Deformation Patterns between Gait Feature Pairs
	C. Xu, D. Adachi, Y. Makihara, Y. Yagi, J. Lu, ``DeformGait: Gait Recognition under Posture Changes using Deformation Patterns between Gait Feature Pairs,'' Proc. of the 4th Int. Joint Conference on Biometrics (IJCB 2020), Houston, TX, USA (online), pp. 1-10, Sep. 2020. [PDF]

Uncertainty-aware Gait-based Age Estimation by Label Distribution Learning
	A. Sakata, Y. Makihara, N. Takemura, D. Muramatsu, Y. Yagi, ``How Confident Are You in Your Estimate of a Human Age? Uncertainty-aware Gait-based Age Estimation by Label Distribution Learning,'' Proc. of the 4th Int. Joint Conference on Biometrics (IJCB 2020), Houston, TX, USA (online), pp. 1-11, Sep. 2020. [PDF] (One of Best-Reviewed Papers)

Gait Recognition from a Single Image using a Phase-Aware Gait Cycle Reconstruction Network
	C. Xu, Y. Makihara, X. Li, Y. Yagi, J. Lu, ``Gait Recognition from a Single Image using a Phase-Aware Gait Cycle Reconstruction Network,'' Proc. of the 16th European Conf. on Computer Vision (ECCV 2020), Glasgow, UK (online), pp. 386-403, Aug. 2020. [open access]

Multi-view Very Large Population Database with Pose Sequences
	W. An, S. Yu, Y. Makihara, X. Wu, C. Xu, Y. Yu, R. Liao, Y. Yagi, ``Performance Evaluation of Model-based Gait on Multi-view Very Large Population Database with Pose Sequences,'' IEEE Trans. on Biometrics, Behavior, and Identity Science, Vol. 2, No. 4, pp. 421-430, Oct. 2020 (Published online: 13 July 2020). [open access] [Database page]

Gait Recognition via Semi-supervised Disentangled Representation Learning to Identity and Covariate Features
	X. Li, Y. Makihara, C. Xu, Y. Yagi, M. Ren, ``Gait Recognition via Semi-supervised Disentangled Representation Learning to Identity and Covariate Features,'' Proc. the 33rd IEEE Conf. on Computer Vision and Pattern Recognition (CVPR 2020), Seattle, WA, USA (online), pp. 13309-13319, Jun. 2020. [open access]

Cross-View Gait Recognition using Pairwise Spatial Transformer Networks
	C. Xu, Y. Makihara, X. Li, Y. Yagi, J. Lu, ``Cross-View Gait Recognition using Pairwise Spatial Transformer Networks,'' IEEE Trans. on Circuits and Systems for Video Technology, 2020 (Published online: 21 Feb. 2020). [open access]

An Empirical Study on Hyperparameter-insensitive Human Action Recognition Using Wearable Sensors
	M.G. Abdu-Aguye, W. Gomaa, Y. Makihara, Y. Yagi, ``Adaptive Pooling Is All You Need: An Empirical Study on Hyperparameter-insensitive Human Action Recognition Using Wearable Sensors,'' Proc. of the 2020 Int. Joint. Conf. on Neural Network (IJCNN 2020), Glasgow, UK (online), pp. 1-6, Jul. 2020. [PDF]

Detecting Adversarial Attacks in Time-series Data
	M. Abdu-Aguye, W. Gomaa, Y. Makihara, Y. Yagi, ``Detecting Adversarial Attacks in Time-series Data,'' Proc. of the 45th Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP 2020), Barcelona, Spain, pp. 3092-3096, May 2020. [open access]

Wearable Sensor-based Gait Analysis for Age and Gender Estimation

M.A.R. Ahad, T.T. Ngo, A.D. Antar, M. Ahmed, T. Hossain, D. Muramatsu, Y. Makihara, S. Inoue, Y. Yagi, ``Wearable Sensor-based Gait Analysis for Age and Gender Estimation,'' Sensors, Vol. 20, No. 2424, pp. 1-24, Apr. 2020. [open access] T.T. Ngo, M.A.R. Ahad, A.D. Antar, M. Ahmed, D. Muramatsu, Y. Makihara, Y. Yagi, S. Inoue, T. Hossain, Y. Hattori, ``OU-ISIR Wearable Sensor-based Gait Challenge: Age and Gender,'' The 12th IAPR Int. Conf. On Biometrics (ICB 2019), Crete, Greece, pp. 1-6, Jun. 2019. [PDF]

Identifying motion pathways in highly crowded scenes
	A. Shehata, M.E. Hussein, W. Gomaa, Y. Makihara, Y. Yagi, ``Identifying motion pathways in highly crowded scenes: a non-parametric tracklet clustering approach,'' Computer Vision and Image Understanding, Vol. 191, No. 102710, pp. 1-18, Feb. 2020 (Published online: 24 Aug. 2018). [PDF]

A Video-Based Gait Disturbance Assessment Tool for Diagnosing Idiopathic Normal Pressure Hydrocephalus
	R. Liao, Y. Makihara, D. Muramatsu, I. Mitsugami, Y. Yagi, K. Yoshiyama, H. Kazui, M. Takeda, ``A Video-Based Gait Disturbance Assessment Tool for Diagnosing Idiopathic Normal Pressure Hydrocephalus,'' Trans. on Electrical and Electronics Engineering, Vol. 15, No. 3, pp. 433-441, Feb. 2020. [PDF]

Joint Intensity Transformer Network for Gait Recognition Robust against Clothing and Carrying status
	X. Li, Y. Makihara, C. Xu, Y. Yagi, M. Ren, ``Joint Intensity Transformer Network for Gait Recognition Robust against Clothing and Carrying status,'' IEEE Trans. on Information Forensics and Security, Vol. 14, No. 12, pp. 3102-3115, Dec. 2019 (Published online: 22 Apr. 2019). [open access]

Pedestrian segmentation based on a spatio-temporally consistent graph cut with optimal transport
	Y. Yu, Y. Makihara, Y. Yagi, ``Pedestrian segmentation based on a spatio-temporally consistent graph cut with optimal transport,'' IPSJ Trans. on Computer Vision and Applications, Vol. 11, No. 10, pp. 1-17, Nov. 2019. [open access]

Human Perception-based Gait Relative Attributes Estimation
	A. Shehata, Y. Hayashi, Y. Makihara, D. Muramatsu, Y. Yagi, ``Does My Gait Look Nice? Human Perception-based Gait Relative Attributes Estimation by Dense Trajectory Analysis,'' The 5th Asian Conf. on Pattern Recognition (ACPR 2019), Auckland, New Zealand, pp. 90-105, Nov. 2019. [PDF]

RGB-D video-based individual identification of dairy cows using gait and texture analyses
	F. Okura, S. Ikuma, Y. Makihara, D. Muramatsu, K. Nakada, Y. Yagi, ``RGB-D video-based individual identification of dairy cows using gait and texture analyses,'' Computers and Electronics in Agriculture, Vol. 165, No. 104944, Oct. 2019. [PDF]

Gait recognition invariant to carried objects using alpha blending generative adversarial networks

X. Li, Y. Makihara, C. Xu, Y. Yagi, M. Ren, ``Gait recognition invariant to carried objects using alpha blending generative adversarial networks,'' Pattern Recognition, Vol. 105, No. 107376, pp. 1-12, Sep. 2020 (Published online: 28 Apr. 2020). [open access] X. Li, Y. Makihara, C. Xu, Y. Yagi, M. Ren, ``Make the Bag Disappear: Carrying Status-invariant Gait-based Human Age Estimation using Parallel Generative Adversarial Networks,'' Proc. of the IEEE 10th Int. Conf. on Biometrics: Theory, Applications and Systems (BTAS 2019), Tampa, Florida, USA, Sep. 2019. [PDF]

On The Feasibility of On-Body Roaming Models in Human Activity Recognition
	M. Abduaguye, W. Gomaa, Y. Makihara, Y. Yagi, ``On The Feasibility of On-Body Roaming Models in Human Activity Recognition,'' Proc. of the 16th Int. Conf. on Informatics in Control, Automation and Robotics (ICINCO 2019), Prague, Czech republic, Jul. 2019. [PDF]

Unsupervised GEI-Based Gait Disorders Detection From Different Views
	A. Elkholy, Y. Makihara, W. Gomaa, A.R. Ahad, Y. Yagi, ``Unsupervised GEI-Based Gait Disorders Detection From Different Views,'' Proc. of the 41st Engineering in Medicine and Biology Conference, Jul. 2019. [PDF]

Gait-based Age Progression/Regression
	C. Xu, Y. Makihara, Y. Yagi, J. Lu, ``Gait-based Age Progression/Regression: A Baseline and Performance Evaluation by Age Group Classification and Cross-age Gait Identification,'' Machine Vision and Applications, Vol. 30, No. 4, pp. 629-644, Jun. 2019 (Published online: 7 Mar. 2019). [open access]

Early detection of lower MMSE scores in elderly based on dual-task gait
	K. Aoki, T. T. Ngo, I. Mitsugami, F. Okura, M. Niwa, Y. Makihara, Y. Yagi, H. Kazui, ``Early detection of lower MMSE scores in elderly based on dual-task gait,'' IEEE Access, Vol. 7, pp. 40085-40094, Mar. 2019. [open access]

Gait-based Age Estimation using a DenseNet
	A. Sakata, Y. Makihara, N. Takemura, D. Muramatsu, Y. Yagi, ``Gait-based Age Estimation using a DenseNet,'' Proc. of the Int. Workshop on Attention/Intention Understanding (AIU 2018), pp. 55-63, Dec. 2018. [PDF]

Gait-based Human Age Estimation using Age Group-dependent Manifold Learning and Regression
	X. Li, Y. Makihara, C. Xu, Y. Yagi, M. Ren, ``Gait-based Human Age Estimation using Age Group-dependent Manifold Learning and Regression,'' Multimedia Tools and Applications, Vol. 77, No. 21, pp. 28333-28354, Nov. 2018. [open access]

Geometrically Consistent Pedestrian Trajectory Extraction for Gait Recognition
	Y. Makihara, G. Ogi, Y. Yagi, ``Geometrically Consistent Pedestrian Trajectory Extraction for Gait Recognition,'' Proc. of the IEEE 9th Int. Conf. on Biometrics: Theory, Applications and Systems (BTAS 2018), Redondo Beach, CA, USA, pp. 1-11, Oct. 2018. [PDF]

OULP-Bag: Large Population Gait Database with Real-Life Carried Object
	M.Z. Uddin, T.T. Ngo, Y. Makihara, N. Takemura, X. Li, D. Muramatsu, Y. Yagi, ``The OU-ISIR Large Population Gait Database with Real-Life Carried Object and its performance evaluation,'' IPSJ Trans. on Computer Vision and Applications, Vol. 10, No. 5, May 2018. [open access] [Database page]

OUMVLP: Multi-view Large Population Gait Dataset
	N. Takemura, Y. Makihara, D. Muramatsu, T. Echigo, Y. Yagi, ``Multi-view Large Population Gait Dataset and Its Performance Evaluation for Cross-view Gait Recognition,'' IPSJ Trans. on Computer Vision and Applications, Vol. 10, No. 4, pp. 1-14, Feb. 2018. [open access] [Database page]

OULP-Age: Large Population Dataset with Age
	C. Xu, Y. Makihara. G. Ogi, X. Li, Y. Yagi, J. Lu, ``The OU-ISIR Gait Database Comprising the Large Population Dataset with Age and Performance Evaluation of Age Estimation,'' IPSJ Trans. on Computer Vision and Applications, Vol. 9, No. 24, pp. 1-14, Dec. 2017. [open access] [Database page]

A Geometric View Transformation Model using Free-form Deformation for Cross-view Gait Recognition

Y. Makihara, D. Adachi, C. Xu, Y. Yagi, ``Gait Recognition by Deformable Registration,'' Proc. of the IEEE Computer Society Workshop on Biometrics 2018, pp. 561-571, Salt Lake City, Utah, USA, Jun. 2018. [open access] H. El-Alfy, C. Xu, Y. Makihara, D. Muramatsu, and Y. Yagi, ``A Geometric View Transformation Model using Free-form Deformation for Cross-view Gait Recognition,'' Proc. of the 4th Asian Conf. on Pattern Recognition (ACPR 2017), pp. 929-934, Nanjing, China, Nov. 2017. [PDF]

Joint Intensity and Spatial Metric Learning for Robust Gait Recognition
	Y. Makihara, A. Suzuki, D. Muramatsu, X. Li, and Y. Yagi, ``Joint Intensity and Spatial Metric Learning for Robust Gait Recognition,'' Proc. of the 30th IEEE Conf. on Computer Vision and Pattern Recognition (CVPR 2017), pp. 5705-5715, Honolulu, Hawaii, USA, Jul. 2017. [PDF]

Speed-Invariant Gait Recognition Using Single-Support Gait Energy Image

C. Xu, Y. Makihara, X. Li, Y. Yagi, J. Lu, ``Speed-Invariant Gait Recognition Using Single-Support Gait Energy Image,'' Multimedia Tools and Applications, Vol. 78, No. 18, pp. 26509-26536, Sep. 2019 (Published online: 11 Jun. 2019). [open access] C. Xu, Y. Makihara, X. Li, Y. Yagi, and J. Lu, ``Speed Invariance vs. Stability: Cross-Speed Gait Recognition Using Single-Support Gait Energy Image,'' Proc. of the 13th Asian Conf. on Computer Vision (ACCV 2016), pp. 52-67, Taipei, Taiwan, Nov. 2016. [PDF]

Gait Energy Response Functions for Gait Recognition against Various Clothing and Carrying Status

X. Li, Y. Makihara, C. Xu, D. Muramatsu, Y. Yagi, M. Ren, ``Gait Energy Response Functions for Gait Recognition against Various Clothing and Carrying Status,'' Applied Science, Vol. 8, No. 1380, pp. 1-22, Aug. 2018 (Published online: 30 Apr. 2018). [open access] X. Li, Y. Makihara, C. Xu, D. Muramatsu, Y. Yagi, and M. Ren, ``Gait Energy Response Function for Clothing-invariant Gait Recognition,'' Proc. of the 13th Asian Conf. on Computer Vision (ACCV 2016), pp. 257-272, Taipei, Taiwan, Nov. 2016. [PDF]

GaitGate: An Online Walk-through Multimodal Biometric Verification System using a Single RGB-D Sensor
	M. Hasan, Y. Makihara, D. Muramatsu, and Y. Yagi, "Gait Gate: An Online Walk-through Multimodal Biometric Verification System using a Single RGB-D Sensor", Proc. of Workshop on Human Identification for Surveillance (HIS): Methods & Applications (in conjunction with ACCV 2016), pp. 330-344, Taipei, Taiwan, Nov. 2016. [PDF]

GEINet: View-Invariant Gait Recognition Using a Convolutional Neural Network

N. Takemura, Y. Makihara, D. Muramatsu, T. Echigo, and Y. Yagi, ``On Input/Output Architectures for Convolutional Neural Network-Based Cross-View Gait Recognition,'' IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), Vol. 29, No. 9, pp. 2708-2719, Sep. 2019 (Published online: 09 Oct. 2017). [PDF] K. Shiraga, Y. Makihara, D. Muramatsu, T. Echigo, and Y. Yagi, ``GEINet: View-Invariant Gait Recognition Using a Convolutional Neural Network'', Proc. of the 8th IAPR Int. Conf. on Biometrics (ICB 2016), No. O19, pp. 1-8, Halmstad, Sweden, Jun. 2016. [PDF] (Honorable Mention Paper Award)

Gait collector: An Automatic Gait Data Collection System in Conjunction with an Experience-based Long-run Exhibition
	Y. Makihara, T. Kimura, F. Okura, I. Mitsugami, M. Niwa, C. Aoki, A. Suzuki, D. Muramatsu, and Y. Yagi, ``Gait Collector: An Automatic Gait Data Collection System in Conjunction with an Experience-based Long-run Exhibition'' Proc. of the 8th IAPR Int. Conf. on Biometrics (ICB 2016), No. O17, pp. 1-8, Halmstad, Sweden, Jun. 2016. [PDF]

Gait Regeneration for Recognition
	D. Muramatsu, Y. Makihara, and Y. Yagi, ``Gait Regeneration for Recognition,'' Proc. of the 7th IAPR Int. Conf. on Biometrics (ICB 2015), Paper ID 60, pp.1-8, Phuket, Thailand, May, 2015. [PDF]

Cross-View Gait Recognition by Fusion of Multiple Transformation Consistency Measures

D. Muramatsu, Y. Makihara, and Y. Yagi, ``Cross-View Gait Recognition by Fusion of Multiple Transformation Consistency Measures,'' IET Biometrics, Vol. 4, No. 2, pp. 62-73, Jun. 2015. D. Muramatsu, Y. Makihara, and Y. Yagi, ``View transformation-based Cross View Gait Recognition Using Transformation Consistency Measure,'' Proc. of the 2nd Int. Workshop on Biometrics and Forensics (IWBF 2014), Paper ID: 40, pp. 1-6, Valletta, Malta, Mar. 2014. [PDF] (IAPR Best Paper Award)

View Transformation Model Incorporating Quality Measures for Cross-view Gait Recognition

D. Muramatsu, Y. Makihara, and Y. Yagi, ``View Transformation Model Incorporating Quality Measures for Cross-view Gait Recognition,'' IEEE Trans. on Cybernetics, Vol. 46, No. 7, pp. 1602-1615, Jul. 2016 (Published online: 31 Jul. 2015). [PDF] D. Muramatsu, Y. Makihara, and Y. Yagi, ``Quality-dependent View Transformation Model for Cross-view Gait Recognition,'' Proc. of the IEEE 6th Int. Conf. on Biometrics: Theory, Applications and Systems (BTAS 2013), Washington D.C., USA, Paper ID: 12, pp. 1-8, Sep. 2013. [PDF] (Selected as Papers with the Best Reviews)

MultiQ: Single sensor-based multi-quality multi-modal large-scale biometric score database and its performance evaluation

M.Z. Uddin, D. Muramatsu, T. Kimura, Y. Makihara, Y. Yagi, ``MultiQ: Single sensor-based multi-quality multi-modal large-scale biometric score database and its performance evaluation,'' IPSJ Trans. on Computer Vision and Applications, Vol. 9, No. 18 pp. 1-25, Jul. 2017. [open access] T. Kimura, Y. Makihara, D. Muramatsu, and Y. Yagi, "Single Sensor-based Multi-quality Multi-modal Biometric Score Database and Its Performance Evaluation", In Proc. of the 7th IAPR Int. Conf. on Biometrics (ICB 2015), Paper ID 61, pp.1-8, Phuket, Thailand, May, 2015. [PDF] (Presented at Best-Reviewed Papers Session) [Database page]

Score-Level Fusion by Generalized Delaunay Triangulation
	Y. Makihara, D. Muramatsu, M.A. Hossain, H. Iwama, T.T. Ngo, and Y. Yagi, ``Score-Level Fusion by Generalized Delaunay Triangulation,'' Proc. of the 2nd IEEE/IAPR Int. Joint Conf. on Biometrics (IJCB 2014), No. O18, pp. 1-8, Clearwater, Florida, USA, Sep., 2014. [PDF]

Multi-view Discriminant Analysis for Cross-view Gait Recognition

Y. Makihara, A. Mansur, D. Muramatsu, M.Z. Uddin, and Y. Yagi, ``Multi-view Discriminant Analysis with Tensor Representation and Its Application to Cross-view Gait Recognition,'' Proc. of the 11th IEEE Conf. on Automatic Face and Gesture Recognition (FG 2015), Paper ID: 126, pp. 1-8, Ljubljana, Slovenia, Apr. 2015. [PDF] A. Mansur, Y. Makihara, D. Muramatsu, and Y. Yagi, ``Cross-view Gait Recognition using View-dependent Discriminative Analysis,'' Proc. of the 2nd IEEE/IAPR Int. Joint Conf. on Biometrics (IJCB 2014), No. O20, pp. 1-8, Clearwater, Florida, USA, Sep. 2014. [PDF]

Gait Recognition under Speed Transition
	A. Mansur, Y. Makihara, M.R. Aqmar, and Y. Yagi, ``Gait Recognition under Speed Transition,'' Proc. of the 27th IEEE Conf. on Computer Vision and Pattern Recognition (CVPR 2014), pp. 2521-2528, Columbus, Ohio, USA, Jun. 2014. [PDF] [Database page]

Gait Recognition using an Intermediate View Transformation Model
	D. Muramatsu, Y. Makihara, and Y. Yagi, ``Are Intermediate Views Beneficial for Gait Recognition using a View Transformation Model?,'' Proc. of the 20th Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV 2014), pp. 222-227, Nago, Japan, Feb. 2014. [PDF]

Multi-modal Person Authentication from a Single Walking Image Sequence

T. Kimura, Y. Makihara, D. Muramatsu, and Y. Yagi, ``Quality-dependent Score-level Fusion of Face, Gait, and the Height Biometrics,'' IPSJ Trans. on Computer Vision and Applications, Vol. 6, pp. 53-57, Jul. 2014. [PDF] D. Muramatsu, H. Iwama, Y. Makihara, and Y. Yagi, ``Multi-view Multi-modal Person Authentication from a Single Walking Image Sequence,'' Proc. of the 6th IAPR Int. Conf. on Biometrics (ICB 2013), Paper ID: 92, pp. 1-8, Madrid, Spain, Jun. 2013. [PDF]

Two-point gait
	S. Lombardi, K. Nishino, Y. Makihara, and Y. Yagi, ``Two-Point Gait: Decoupling Gait from Body Shape,'' Proc. of the 14th IEEE International Conference on Computer Vision (ICCV 2013), pp. 1041-1048, Sydney, Australia, Dec. 2013. [PDF]

Pedestrian Detection by using a Spatio-temporal Histogram of Oriented Gradients

C. Hua, Y. Makihara, Y. Yagi, S. Iwasaki, K. Miyagawa, and B. Li, ``Onboard Monocular Pedestrian Detection by Combining Spatio-Temporal HOG with Structure from Motion Algorithm,'' Machine Vision and Applications, Vol. 26, No. 2-3, pp. 161-183, Apr. 2015 (Published online: 3 Jan. 2015). [PDF] C. Hua, Y. Makihara, and Y. Yagi, ``Pedestrian Detection by using a Spatio-temporal Histogram of Oriented Gradients,'' IEICE Trans. on Information and Systems, Vol. E96-D, No. 6, pp. 1376-1386, Jun. 2013. [PDF]

On Combining Gait Features
	Y. Makihara, D. Muramatsu, H. Iwama, and Y. Yagi, ``On Combining Gait Features,'' Proc. of the 10th IEEE Conf. on Automatic Face and Gesture Recognition (FG 2013), Paper ID: 355, pp. 1-8, Shanghai, China, Apr. 2013. [PDF]

View-invariant Gait Recognition from Low Frame-rate Videos
	A. Mansur, Y. Makihara, and Y. Yagi, ``View-invariant Gait Recognition from Low Frame-rate Videos,'' Proc. of the 21st Int. Conf. on Pattern Recognition (ICPR 2012), pp. 2383-2386, Tsukuba, Japan, Nov. 2012. [PDF]

Person Re-identification using View-dependent Score-level Fusion of Gait and Color Features

H. El-Alfy, D. Muramatsu, Y. Teranishi, N. Nishinaga, Y. Makihara, and Y. Yagi, ``A Visual Surveillance System for Person Re-Identification,'' Proc. of the 13th Int. Conf. on Quality Control by Artificial Vision (QCAV 2017), SPIE, Vol. 10338, No. 103380D, pp. 1-7, Tokyo, Japan, May 2017. [PDF] R. Kawai, Y. Makihara, C. Hua, H. Iwama, and Y. Yagi, ``Person Re-identification using View-dependent Score-level Fusion of Gait and Color Features,'' Proc. of the 21st Int. Conf. on Pattern Recognition (ICPR 2012), pp. 2694-2697, Tsukuba, Japan, Nov. 2012. [PDF]

Gait Recognition by Fluctuations
	M.R. Aqmar, Y. Fujihara, Y. Makihara, and Y. Yagi, ``Gait Recognition by Fluctuations,'' Computer Vision and Image Understanding, pp. 38-52, Vol. 126, Sep. 2014. [PDF] Y. Makihara, Y. Fujihara, and Y. Yagi, ``Can Gait Fluctuations Improve Gait Recognition?,'' Proc. of the 21st Int. Conf. on Pattern Recognition (ICPR 2012), pp. 3276-3279, Tsukuba, Japan, Nov. 2012. [PDF]

Point cloud transport

H. Nakajima, Y. Makihara, H. Hsu, I. Mitsugami, M. Nakazawa, H. Yamazoe, H. Habe, and Y. Yagi, ``Point Cloud Transport,'' Proc. of the 21st Int. Conf. on Pattern Recognition (ICPR 2012), pp. 3803-3806, Tsukuba, Japan, Nov. 2012. [PDF] M. Nakazawa, I. Mitsugami, Y. Makihara, H. Nakajima, H. Yamazoe, H. Habe, and Y. Yagi, ``Dynamic Scene Reconstruction using Asynchronous Multiple Kinects,'' Proc. of the 21st Int. Conf. on Pattern Recognition (ICPR 2012), pp. 469-472, Tsukuba, Japan, Nov. 2012. [PDF]

Similar Gait Action Recognition using an Inertial Sensor

T.T. Ngo, Y. Makihara, H. Nagahara, Y. Mukaigawa, and Y. Yagi, ``Similar Gait Action Recognition using an Inertial Sensor,'' Pattern Recognition, Vol. 48, No. 4, pp. 1289-1301, Apr. 2015. [PDF] T.T. Ngo, Y. Makihara, H. Nagahara, Y. Mukaigawa, and Y. Yagi, ``Inertial-sensor-based Walking Action Recognition using Robust Step Detection and Inter-class Relationships,'' Proc. of the 21st Int. Conf. on Pattern Recognition (ICPR 2012), pp. 3811-3814, Tsukuba, Japan, Nov. 2012. [PDF] [Database page]

Gait Recognition using Images of Oriented Smooth Pseudo Motion
	Y. Makihara, B.S. Rossa, and Y. Yagi, ``Gait Recognition using Images of Oriented Smooth Pseudo Motion,'' Proc. of the 2012 IEEE Int. Conf. on Systems, Man, and Cybernetics (SMC 2012), pp. 1309-1314, Seoul, Korea, Oct. 2012. [PDF]

Gait-based Person Recognition Using Arbitrary View Transformation Model

D. Muramatsu, A. Shiraishi, Y. Makihara, M.Z. Uddin, and Y. Yagi, ``Gait-based Person Recognition Using Arbitrary View Transformation Model,'' IEEE Trans. on Image Processing, Vol. 24, No. 1, pp. 140-154, Jan. 2015 (Published online: 20 Nov. 2014). [PDF] D. Muramatsu, A. Shiraishi, Y. Makihara, and Y. Yagi, ``Arbitrary View Transformation Model for Gait Person Authentication,'' Proc. of the IEEE 5th Int. Conf. on Biometrics: Theory, Applications and Systems (BTAS 2012), Paper ID 39, pp. 1-6, Washington D.C., USA, Sep. 2012. [PDF]

The Largest Inertial Sensor-based Gait Database and Performance Evaluation of Gait Recognition

T.T. Ngo, Y. Makihara, H. Nagahara, Y. Mukaigawa, and Y. Yagi, ``The Largest Inertial Sensor-based Gait Database and Performance Evaluation of Gait Recognition,'' Pattern Recognition, Vol. 47, No. 1, pp. 228-237, Jan. 2014. [PDF] N.T. Trung, Y. Makihara, H. Nagahara, Y. Mukaigawa, and Y. Yagi, ``Performance Evaluation of Gait Recognition using the Largest Inertial Sensor-based Gait Database,'' Proc. of the 5th IAPR Int. Conf. on Biometrics, Paper ID 182, pp. 1-7, New Delhi, India, Mar., 2012.[PDF] [Database page]

Gait Verification System for Criminal Investigation

H. Iwama, D. Muramatsu, Y. Makihara, and Y. Yagi, ``Gait Verification System for Criminal Investigation,'' IPSJ Trans. on Computer Vision and Applications, Vol. 5, pp. 163-175, Oct. 2013. [PDF] H. Iwama, D. Muramatsu, Y. Makihara, and Y. Yagi, ``Gait-based Person-Verification System for Forensics,'' Proc. of the IEEE 5th Int. Conf. on Biometrics: Theory, Applications and Systems (BTAS 2012), Paper ID 49, pp. 1-8, Washington D.C., USA, Sep. 2012. [PDF]

Group Context-Aware Person Identification in Video Sequences
	H. Iwama, Y. Makihara, and Y. Yagi, ``Group Context-Aware Person Identification in Video Sequences,'' IPSJ Trans. on Computer Vision and Applications, Vol. 4, 2012.(Accepted)

`Video from Nearly Still: an Application to Low Frame-rate Gait Recognition

N. Akae, A. Mansur, Y. Makihara, and Y. Yagi, ``Video from Nearly Still: an Application to Low Frame-rate Gait Recognition,'' Proc. of the 25th IEEE Conf. on Computer Vision and Pattern Recognition, pp. 1537-1543, Providence, RI, USA, Jun. 2012.[PDF] N. Akae, Y. Makihara, and Y. Yagi, ``Gait Recognition using Periodic Temporal Super Resolution for Low Frame-rate Videos,'' Proc. of the International Joint Conference on Biometrics (IJCB2011), Paper ID 190, pp. 1-7, Washington D.C., USA, Oct. 2011.[PDF]

Score-level Fusion based on the Direct Estimation of the Bayes Error Gradient Distribution
	Y. Makihara, M.A. Hossain, D. Muramatsu, and Y. Yagi, ``Score-level Fusion based on the Direct Estimation of the Bayes Error Gradient Distribution,'' Proc. of the International Joint Conference on Biometrics (IJCB2011), Paper ID 197, pp. 1-8, Washington D.C., USA, Oct. 2011.[PDF]

Gait-based Age Estimation using a Whole-generation Gait Database
	Y. Makihara, M. Okumura, H. Iwama, and Y. Yagi, ``Gait-based Age Estimation using a Whole-generation Gait Database,'' Proc. of the International Joint Conference on Biometrics (IJCB2011), Paper ID 195, pp. 1-6, Washington D.C., USA, Oct. 2011.[PDF]

Orientation-Compensative Signal Registration for Owner Authentication using an Accelerometer

T.T. Ngo, Y. Makihara, H. Nagahara, Y. Mukaigawa, and Y. Yagi, ``Orientation-Compensative Signal Registration for Owner Authentication using an Accelerometer,'' IEICE Trans. on Information and Systems, Vol. E97-D, No. 3, pp. 541-553, Mar. 2014. [PDF] N.T. Trung, Y. Makihara, H. Nagahara, R. Sagawa, Y. Mukaigawa, and Y. Yagi, ``Phase Registration in a Gallery Improving Gait Authentication,'' Proc. of the International Joint Conference on Biometrics (IJCB2011), Paper ID 178, pp. 1-7, Washington D.C., USA, Oct. 2011.[PDF]

Inverse Dynamics for Action Recognition
	A. Mansur, Y. Makihara, and Y. Yagi, ``Inverse Dynamics for Action Recognition,'' IEEE Trans. on Systems, Man, and Cybernetics, Part B: Cybernetics, Vol. 43, No. 4, pp. 1226-1236, Aug. 2013. [PDF] A. Mansur and Y. Makihara and Y. Yagi, ``Action Recognition Using Dynamics Features,'' Proc. of 2011 IEEE Int. Conf. on Robotics and Automation, pp. 4020-4025, Shanghai, China, May, 2011.[PDF]

The Optimal Camera Arrangement by a Performance Model for Gait Recognition
	N. Akae, Y. Makihara, and Y. Yagi, ``The Optimal Camera Arrangement by a Performance Model for Gait Recognition,'' Proc. the 9th IEEE Conf. on Automatic Face and Gesture Recognition, pp. 1-6, Santa Barbara, CA, USA, Mar. 2011.[PDF]

Periodic Temporal Super Resolution based on Phase Registration and Manifold Reconstruction

Y. Makihara, A. Mori, and Y. Yagi, ``Periodic Temporal Super Resolution based on Phase Registration and Manifold Reconstruction,'' IPSJ Trans. on Computer Vision and Applications, Vol. 3, pp. 134-147, Dec. 2011.[PDF] Y. Makihara, A. Mori, and Y. Yagi, ``Temporal Super Resolution from a Single Quasi-Periodic Image Sequence Based on Phase Registration,'' Proc. the 10th Asian. Conf. on Computer Vision, pp. 107-120, Queenstown, New Zealand, Nov. 2010.[PDF]

Phase Estimation of a Single Quasi-periodic Signal

Y. Makihara, M.R. Aqmar, T.T. Ngo, H. Nagahara, R. Sagawa, Y. Mukaigawa, and Y. Yagi, ``Phase Estimation of a Single Quasi-periodic Signal,'' IEEE Trans. on Signal Processing, Vol. 62, No. 8, pp. 2066-2079, Apr. 2014. [PDF] Y. Makihara, N.T. Trung, H. Nagahara, R. Sagawa, Y. Mukaigawa, and Y. Yagi, ``Phase Registration of a Single Quasi-Periodic Signal Using Self Dynamic Time Warping,'' Proc. the 10th Asian. Conf. on Computer Vision, pp. 1965-1975, Queenstown, New Zealand, Nov. 2010.[PDF] [Code]

Earth Mover's Morphing: Topology-Free Shape Morphing Using Cluster-Based EMD Flows
	Y. Makihara and Y. Yagi, ``Earth Mover's Morphing: Topology-Free Shape Morphing Using Cluster-Based EMD Flows,'' Proc. the 10th Asian. Conf. on Computer Vision, pp. 2302-2315, Queenstown, New Zealand, Nov. 2010.[PDF]

Foreground and Shadow Segmentation Based on a Homography-Correspondence Pair
	H. Iwama, Y. Makihara, and Y. Yagi, ``Foreground and Shadow Segmentation Based on a Homography-Correspondence Pair,'' Proc. the 10th Asian. Conf. on Computer Vision, pp. 2790-2802, Queenstown, New Zealand, Nov. 2010.[PDF]

Gait Analysis of Gender and Age Using a Large-Scale Multi-View Gait Database
	Y. Makihara, H. Mannami, and Y. Yagi, ``Gait Analysis of Gender and Age Using a Large-Scale Multi-View Gait Database,'' Proc. the 10th Asian. Conf. on Computer Vision, pp. 975-986, Queenstown, New Zealand, Nov. 2010.[PDF]

The OU-ISIR Gait Database Comprising the Large Population Dataset and Performance Evaluation of Gait Recognition

H. Iwama, M. Okumura, Y. Makihara, and Y. Yagi, ``The OU-ISIR Gait Database Comprising the Large Population Dataset and Performance Evaluation of Gait Recognition,'' IEEE Trans. on Information Forensics and Security, Vol. 7, No. 5, pp. 1511-1521, Oct. 2012. M. Okumura, H. Iwama, Y. Makihara, and Yasushi Yagi, ``Performance Evaluation of Vision-based Gait Recognition using a Very Large-scale Gait Database,'' Proc. IEEE 4th Int. Conf. on Biometrics: Theory, Applications and Systems, pp. 1-6, Washington D.C., USA, Sep. 2010.[PDF] [Database page]

The OU-ISIR Gait Database Comprising the Treadmill Dataset
	Y. Makihara, H. Mannami, A. Tsuji, M.A. Hossain, K. Sugiura, A. Mori, and Y. Yagi, ``The OU-ISIR Gait Database Comprising the Treadmill Dataset,'' IPSJ Trans. on Computer Vision and Applications, Vol. 4, pp. 53-62, Apr., 2012.[PDF] [Database page]

Cluster-Pairwise Discriminant Analysis
	Y. Makihara and Y. Yagi, ``Cluster-Pairwise Discriminant Analysis,'' Proc. of the 20th Int. Conf. on Pattern Recognition, pp. 577-580, Istanbul, Turkey, Aug. 2010. [PDF]

Adaptive Control of Acceptance Threshold for Biometric Signatures with Different Confidence Values
	Y. Makihara, M.A. Hossain, and Y. Yagi, ``How to Control Acceptance Threshold for Biometric Signatures with Different Confidence Values?,'' Proc. of the 20th Int. Conf. on Pattern Recognition, pp. 1208-1211, Istanbul, Turkey, Aug. 2010. [PDF]

Gait Recognition using Period-based Phase Synchronization for Low Frame-rate Videos
	A. Mori, Y. Makihara, and Y. Yagi, ``Gait Recognition using Period-based Phase Synchronization for Low Frame-rate Videos,'' Proc. of the 20th Int. Conf. on Pattern Recognition, pp. 2194-2197, Istanbul, Turkey, Aug. 2010. [PDF]

The Online Gait Measurement for Characteristic Gait Animation Synthesis

Y. Makihara, M. Okumura, Y. Yagi, and S. Morishima, ``The Online Gait Measurement for Characteristic Gait Animation Synthesis,'' Proc. of Human Computer Interaction International 2011, Virtual and Mixed Reality - New Trends, vol. 6773, pp. 325--334, Springer, Orlando, FL, USA, Jul. 2011.[PDF] M. Okumura, Y. Makihara, S. Nakamura, S. Morishima, and Y. Yagi, ``The Online Gait Measurement for the Audience-Participant Digital Entertainment,'' Proc. of Invited Workshop on Vision Based Human Modeling and Synthesis in Motion and Expression, Xi'an, China, Sep. 2009. [PDF] S. Nakamura, M. Shiraishi, S. Morishima, M. Okumura, Y. Makihara, and Y. Yagi, ``Characteristic Gait Animation Synthesis from Single View Silhouette,'' Proc. of SIGGRAPH 2009 (Poster), New Orieans, Louisiana, USA, Aug. 2009. [PDF]

Clothing-invariant gait identification using part-based clothing categorization and adaptive weight control

Md. Altab Hossain, Yasushi Makihara, Junqiu Wang, and Yasushi Yagi ``Clothing-invariant gait identification using part-based clothing categorization and adaptive weight control,'' Pattern Recognition, Vol. 43, No. 6, pp. 2281-2291, Jun., 2010. [PDF] M.A. Hossain, Y. Makihara, J. Wang, and Y. Yagi, ``Clothes-Invariant Gait Identification using Part-based AdaptiveWeight Control,'' Proc. of the 19th Int. Conf. on Pattern Recognition, Tampa, USA, Dec. 2008. [PDF]

Silhouette Transformation based on Walking Speed for Gait Identification

Y. Makihara, A. Tsuji, and Y. Yagi, ``Speed-Invariant Gait Recognition,'' Signal and Image Processing for Biometrics (Ed.: J. Scharcanski, H. Proenca, and E. Du), Chapter 8, pp. 209-230, Springer, Mar. 2014. A. Tsuji, Y. Makihara, and Y. Yagi, ``Silhouette Transformation based on Walking Speed for Gait Identification,'' Proc. of the 23rd IEEE Conf. on Computer Vision and Pattern Recognition, San Francisco, CA, USA, Jun. 2010. [PDF]

People tracking and segmentation using efficient shape sequences matching

Y. Makihara, T. Tanoue, D. Muramatsu, Y. Yagi, S. Mori, Y. Utsumi, M. Iwamura, and K. Kise, ``Individuality-preserving Silhouette Extraction for Gait Recognition,'' IPSJ Trans. on Computer Vision and Applications, Vol. 7, pp. 74-78, Jul. 2015. [open access] J. Wang, Y. Yagi, and Y. Makihara, ``People tracking and segmentation using efficient shape sequences matching,'' Proc. 9th Asian Conference on Computer Vision, Xi'an, China, Sep. 2009. [PDF] J. Wang, Y. Makihara, and Y. Yagi, ``People Tracking and Segmentation Using Spatiotemporal Shape Constraints,'' Proc. of the 1st ACM Int. Workshop on Vision Networks for Behaviour Analysis, Vancouver, Canada, Oct. 2008. J. Wang, Y. Makihara, and Y. Yagi, ``Human Tracking and Segmentation Supported by Silhouette-based Gait Recognition,'' Proc. of the 2008 IEEE International Conference on Robotics and Automation, pp. 1698-1703, Pasadena, USA, May 2008. [PDF]

Gait Identification based on Multi-view Observations using Omnidirectional Camera

K. Sugiura, Y. Makihara, and Y. Yagi, ``Gait Identification based on Multi-view Observations using Omnidirectional Camera,'' Proc. of 8th Asian Conf. on Computer Vision, Vol. 1, pp. 452-461, Tokyo, Japan, Nov. 2007. [PDF] K. Sugiura, Y. Makihara, and Y. Yagi, "Omnidirectional Gait Identification by Tilt Normalization and Azimuth View Transformation,'' Proc. of the IEEE Workshop on OMNIVIS, Marseille, France, Oct. 2008. [PDF]

Gait Identification Considering Body Tilt by Walking Direction Changes

Y. Makihara, R. Sagawa, Y. Mukaigawa, T. Echigo, and Y. Yagi, ``Gait Identification Considering Body Tilt by Walking Direction Changes,'' Electronic Letters on Computer Vision and Image Analysis, Vol. 8, No. 1, pp. 15--26, Apr. 2009.[PDF] Y. Makihara, R. Sagawa, Y. Mukaigawa, T. Echigo, and Y. Yagi, "Adaptation to Walking Direction Changes for Gait Identification", Proc. of the 18th Int. Conf. on Pattern Recognition, Vol. 2, pp. 96-99, Hong Kong, China, Aug. 2006. [PDF]

Gait Recognition Using a View Transformation Model in the Frequency Domain

Y. Makihara, R. Sagawa, Y. Mukaigawa, T. Echigo, and Y. Yagi, "Adaptation to Walking Direction Changes for Gait Identification", Proc. of the 18th Int. Conf. on Pattern Recognition, Vol. 2, pp. 96-99, Hong Kong, China, Aug. 2006. [PDF] Y. Makihara, R. Sagawa, Y. Mukaigawa, T. Echigo, and Y. Yagi, "Which Reference View is Effective for Gait Identification Using a View Transformation Model?", Proc. of the IEEE Computer Society Workshop on Biometrics 2006, New York, USA, Jun. 2006. [PDF] Y. Makihara, R. Sagawa, Y. Mukaigawa, T. Echigo, and Y. Yagi, "Gait Recognition Using a View Transformation Model in the Frequency Domain", Proc. of the 9th European Conf. on Computer Vision, Vol. 3, pp. 151-163, Graz, Austria, May 2006. [PDF] R. Sagawa, Y. Makihara, T. Echigo, and Y. Yagi, "Matching Gait Image Sequences in the Frequency Domain for Tracking People at a Distance," Proc. of the 7th Asian Conf. on Computer Vision, Vol. 2, pp. 141-150, Hyderabad, India, Jan. 2006.

Strategy for Displaying the Recognition Result in Interactive Vision
	Y. Makihara, J. Miura, Y. Shirai, and N. Shimada, "Strategy for Displaying the Recognition Result in Interactive Vision," Proc. of 2nd Int. Workshop on Language Understanding and Agents for Real World Interaction, pp.467-474, Singapore, Singapore, Nov. 2005. [PDF]

Online Learning of Color Transformation for Interactive Object Recognition under Various Lighting Conditions

Y. Makihara, Y. Shirai, and N. Shimada, "Online Learning of Color Transformation for Interactive Object Recognition under Various Lighting Conditions," Proc. of the 17th Int. Conf. on Pattern Recognition, Vol. 3, pp. 161-164, Cambridge, UK, Aug. 2004.[PDF] Y. Makihara, M. Takizawa, Y. Shirai, and N. Shimada, "Object Recognition under Various Lighting Conditions," Proc. of the 13th Scandinavian Conf. on Image Analysis, pp. 899-906, Goteborg, Sweden, Jul. 2003.[PDF]

Object Recognition Supported by User Interaction for Service Robots

Y. Makihara, M. Takizawa, K. Ninokata, Y. Shirai, J. Miura, and N. Shimada, "A Service Robot Acting by Occasional Dialog -Object Recognition Using Dialog with User and Sensor-Based Manipulation-," J. of Robotics and Mechatronics, Vol. 14, No. 2, pp. 124-132, Apr. 2002.[PDF] Y. Makihara, M. Takizawa, Y. Shirai, J. Miura, and N. Shimada, "Object Recognition Supported by User Interaction for Service Robots," Proc. of the 16th Int. Conf. on Pattern Recognition, Vol. 3, pp. 561-564, Quebec, Canada, Aug. 2002.[PDF] Y. Makihara, M. Takizawa, Y. Shirai, J. Miura, and N. Shimada, "Object Recognition Supported by User Interaction for Service Robots," Proc. of the 5th Asian Conf. on Computer Vision, Vol. 2, pp. 719-724, Melbourne, Australia, Jan. 2002.[PDF]