Video and Sensor-based Gait Recognition
Performance Evaluation of a Large-scale Vision-based Gait Database with Real-life Carried Object

We present a super large dataset of 62,528 participants and peformance evaluations for gait recognition against various practical conditions and carrying status recognition.

  • Md. Zasim Uddin, Trung Thanh Ngo, Yasushi Makihara, Noriko Takemura, Xiang Li, Daigo Muramatsu, Yasushi Yagi,
    The OU-ISIR Large Population Gait Database with real-life carried object and its performance evaluation,
    IPSJ Transactions on Computer Vision and Applications, 10: 5 (2018) ,

Sensor-based Gait Recognition with Dynamic Time Warping

We propose a method for constructing gait patterns (with Self-DTW) and a method to improve the pattern quality by eliminating the ambiguity of temporal distortion.

  • Trung Thanh Ngo, Yasushi Makihara, Hajime Nagahara, Ryusuke Sagawa, Yasuhiro Mukaigawa, Yasushi Yagi,
    Phase Registration in a Gallery Improving Gait Authentication,
    Proc. of the International Joint Conference on Biometrics (IJCB2011), Washington D.C., USA, Oct. 2011.
  • Yasushi Makihara, Md.Rasyid Aqmar, Trung Thanh Ngo, Hajime Nagahara, Ryusuke Sagawa, Yasuhiro Mukaigawa, Yasushi Yagi,
    Phase Estimation of a Single Quasi-periodic Signal,
    IEEE Transactions on Signal Processing 62(8): 2066-2079 (2014) ,
  • Yasushi Makihara, Trung Thanh Ngo, Hajime Nagahara, Ryusuke Sagawa, Yasuhiro Mukaigawa, Yasushi Yagi,
    Phase Registration of a Single Quasi-Periodic Signal Using Self Dynamic Time Warping,
    In Proc. of the 10th Asian Conf. on Computer Vision, pp.1965-1975, Queenstown, New Zealand, Nov., 2010.

Performance Evaluation of a Large-scale Sensor-based Gait Database

We present the world largest inertial dataset of 744 participants and its performance evaluations against variety of factors, such as age, gender, sensor, etc.

  • Trung Thanh Ngo, Yasushi Makihara, Hajime Nagahara, Ryusuke Sagawa, Yasuhiro Mukaigawa, Yasushi Yagi,
    Performance Evaluation of Gait Recognition using the Largest Inertial Sensor-based Gait Database,
    IAPR/IEEE International Conference on Biometrics (ICB2012), New Delhi, India, Apr.2012.
  • Trung Thanh Ngo, Yasushi Makihara, Hajime Nagahara, Ryusuke Sagawa, Yasuhiro Mukaigawa, Yasushi Yagi,
    The Largest Inertial Sensor-based Gait Database and Performance Evaluation of Gait-based Personal Authentication,
    Pattern Recognition 47 (2014), pp. 228-237

Sensor Orientation-Compensative Signal Regisgration

An actual gait signal is always subject to change dueto many factors including variation of sensor attachment. In this research, we tackle to the practical sensor-orientation inconsistency, for which signal sequences are captured at different sensor orientations. We present a method for registering gait signals of rotated sensors and its application in gait recognition.

  • Trung Thanh Ngo, Yasushi Makihara, Hajime Nagahara, Ryusuke Sagawa, Yasuhiro Mukaigawa, Yasushi Yagi,
    Orientation-Compensative Signal Registration for Owner Authentication using an Accelerometer,
    IEICE Transactions 97-D(3): 541-553 (2014)

Gait Recognition with Wearable Camera

Inspired by sensor-based gait recognition, we present a solution for gait recognition with wearable camera. We employ a camera motion estimation method and use the motion signal to recognize the person who is wearing the camera.

  • Kohei Shiraga, Trung Thanh Ngo, Ikuhisa Mitsugami, Yasuhiro Mukaigawa, Yasushi Yagi,
    Gait-based Person Authentication by Wearable Cameras,
    The ninth International Conference on Networked Sensing Systems (INSS2012), June 2012.

Sensor-based Gait Activity Recognition

The research tackles a challenging problem of inertial sensor-based recognition for similar gait action classes (such as walking on flat ground, up/down stairs, and up/down a slope). We solve three drawbacks of existing methods in the case of gait actions: the action signal segmentation, the sensor orientation inconsistency, and the recognition of similar action classes.

  • Trung Thanh Ngo, Yasushi Makihara, Hajime Nagahara, Ryusuke Sagawa, Yasuhiro Mukaigawa, Yasushi Yagi,
    Inertial-sensor-based Walking Action Recognition using Robust Step Detection and Inter-class Relationships,
    Proc. 21th Int. Conf. on Pattern Recognition, Tsukuba, Japan, Nov. 2012.
  • Trung Thanh Ngo, Yasushi Makihara, Hajime Nagahara, Yasuhiro Mukaigawa, Yasushi Yagi,
    Similar gait action recognition using an inertial sensor,
    Pattern Recognition 48(4): 1289-1301 (2015) ,

Multimodal Score-level Fusion for Gait Recognition
  • Yasushi Makihara, Daigo Muramatsu, Haruyuki Iwama, Trung Thanh Ngo, Yasushi Yagi, Md. Altab Hossain,
    Score-level fusion by generalized Delaunay triangulation,
    IEEE/IAPR International Joint Conference on Biometrics (IJCB), Sept. 2014
Wearable sensor challenge: Age and Gender Prediction
  • Thanh Trung Ngo, Md Atiqur Rahman Ahad, Anindya Das Antar, Masud Ahmed, Daigo Muramatsu, Yasushi Makihara, Yasushi Yagi, Sozo Inoue, Tahera Hossain, Yuichi Hattori,
    OU-ISIR Wearable Sensor-based Gait Challenge: Age and Gender,
    The 12th IAPR International Conference On Biometrics (ICB), Jun. 2019