[26] Daigo Muramatsu, Yasushi Makihara, and Yasushi Yagi, View Transformation Model Incorporating Quality Measures for Cross-view Gait Recognition, IEEE Trans. Cybernetics, Vol.46, No.7, pp1602-1615, 2016
[25] 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.
[24] Daigo Muramatsu, Yasushi Makihara, and Yasushi Yagi, Cross-View Gait Recognition by Fusion of Multiple Transformation Consistency Measures, IET, Biometrics, Vol.4, Issue 2, pp.62-73, 2015.
[23] Daigo Muramatsu, Akira Shiraishi, Yasushi Makihara, Md. Zasim Uddin, and Yasushi Yagi, "Gait-based Person Recognition Using Arbitrary View Transformation Model," IEEE Trans. Image Processing, Vol.24, Issue 1, pp140-154, 2015.
[22] Daigo Muramatsu, Haruyuki Iwama, Takuhiro Kimura, Yasushi Makihara, and Yasusi Yagi.Person Authentication Using Multiple Features Extracted from a Single Walking Video, IEICE Transactions, Vol.J97-A, No.12, pp. 735--748, 2014 (Japanese)
[21] Daigo Muramatsu, Yasushi Makihara, and Yasushi Yagi，Cross-View Gait Recognition Using an Intermediate View Transformation Model, IEICE Transactions，Vol.J97-A, No.12, pp.749--752, 2014 (Japanese）
[20] Fumitsugu Akazawa, Yuta Sato, Daigo Muramatsu, Takashi Matsumoto, Atsushi Nakamura, and Takayuki Sota, An Authentication Method Using Palm Patchy Pattern Based on Visible Light Spectrally Resolved Images，IEICE Transactions. Vol.J97-A, No.10, pp.665-668, 2014 (Japanese)
[19] T. Kimura, Y. Makihara, D. Muramatsu, Y. Yagi, Quality-dependent Score-level Fusion of Face, Gait, and the Height Biometrics, IPSJ Trans. on Computer Vision and Applications, Vol.6, pp.543-547, Jul. 2014.
[18] Daigo Muramatsu, Kumiko Yasuda, Takashi Matsumoto, Yasushi Yagi, Accuracy Improvement of Camera-Based Online Signature Verification by Modification of Signature Data and Score-Level Fusion, IEICE Transactions, Vol.96-A, No.12, pp.780-789, 2013 (Japanese)
[17] Yuki, Hashimoto, Daigo Muramatsu, Hiroyuki Ogata, Improving Reliability of Person Authentication Method Using Pen Holding Style toward Preventing Impersonation, IEICE Transactions, Vol.96-A, No.12, pp.7Muramatsu, Yasushi Makihara, and Yasushi Yagi, "Gait Verification System for Criminal Investigation," IPSJ Transactions on Computer Vision and Applications, Vol.5, pp.163-175, 2013
[16] Daigo Muramatsu, Yasushi Makihara, and Yasushi Yagi, "Gait Recognition by Fusing Direct Cross-view Matching Scores for Criminal Investigation", IPSJ Transactions on Computer Vision and Applications, Vol.5, pp.35-39, 2013
[15] D. Muramatsu, Y. Hashimoto, and H. Ogata, Camera-Based Biometric Writer Authentication Method Using Features Extracted from Pen Holding Style, The Journal of the Institute of Image Electronics Engineers of Japan Vol.42 No.1, pp.47-55, 2013 (Japanese)
[14] N. Houmani, A. Mayoue, S. Garcia-Salicetti, B. Dorizzi, M.I. Khalil,M.N. Moustafa,H. Abbas, D. Muramatsu, B. Yanikoglu, A. Kholmatov,M. Marti69-779, 2013 (Japanese)
[13] Haruyuki Iwama, Daigo nez-Diaz, J. Fierrez, J. Ortega-Garcia, J. Roure Alcobe, J. Fabregas, M. Faundez-Zanuy, J.M. Pascual-Gaspar,V. Carednoso-Payo, C. Vivaracho-Pascual, BioSecure signature evaluation campaign (BSEC'2009): evaluating online signature algorithms depending on the quality of signatures, Pattern Recognition, Vol.45, No. 3, pp.993-1003, 2012
[12] S. Kamijo, Y. Miyajima, A. Matsui, Y. Nakada, D. Muramatsu， T. Matsumoto, High-Speed Multi-Object Tracking by using Cross Entropy through Background，Journal of IIEEJ, Vol.39, No.5, pp.571-579, 2010 (Japanese)
[11] D. Muramatsu, M. Inuma, J. Shikata, and A. Otsuka, Enhanced Cancelable Biometrics for Online Signature Verification, IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences Vol.E93-A No.6 pp.1254-1259, 2010
[10] K. Yasuda, D. Muramatsu, S. Shirato, and T. Matsumoto, Visual-Based Online Signature Verification Using Features Extracted From Video, Journal of Network and Computer Applications, Vol.33, pp.333-341, 2010
[9] D. Muramatsu, Hill-Climbing Attacks and Robust Online Signature Verification Algorithm against Hill-Climbing Attacks, IEICE Transactions, Vol.E93-D, No.3, pp.448-457, Mar. 2010
[8] K. Koisih, S. Kinoshita, D. Muramatsu, and T. Matsumoto, Online Signature Verification Based on User-Generic Fusion Model with Markov Chain Monte Carlo, Taking into Account User Individuality, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.13,No.4, pp.447-45, 2009
[7] D. Muramatsu, K. Abe, S. Horiuchi, H. Ogata, Biometric Person Authentication Method Using Pen Holding Style，IEICT Transactions (Japanese Edition), J92-A, No.5, pp.392-396, May. 2009
[6] D. Muramatsu，W. Yan, T. Matsumoto, Robust Online Signature Verification Algorithm Against an Attack using a Hill-Climbing Method, IEICE Transactions (Japanese Edition), Vol.J91-A, No.10, pp.983-988, Oct. 2008
[5] T. Kaburagi, D. Muramatsu, and T. Matsumoto, Transmembrane Structure Predictions with Hydropathy Index/Charge Two-Dimensional Trajectories of Stochastic Dynamical Systems, Journal of Bioinformatics and Computational Biology, Vol.5, issue 3, pp.669-692, 2007
[4] D，Muramatsu, Y. Kato, and T. Matsumoto, Online Signature Verification Using Monte Carlo Methods"
Transactions of Human Interface Society，Vol.9, No.2, pp.191-200, 2007 (Japanese)
[3] D. Muramatsu, Y. Hongo, and T,Matsumoto, Online Signature Verification Using User-generic Fusion Model，IEICE Transactions (Japanese Edition)，Vol.J90-D No.2, pp.450-459, 2007
[2] D. Muramatsu, M. Kondo, M. Sasaki, S. Tachibana and T. Matsumoto, A Markov Chain Monte Carlo Algorithm for Bayesian Dynamic Signature Verification, IEEE Trans. Information Forensic and Security, Vol.1, No.1, pp.22-34, 2006
[1] K. Hadidi, M. Sasaki, T. Watanabe, D. Muramatsu and T. Matsumoto, A Highly Linear Open-Loop Full CMOS High-speed Sample-and-Hold Stage, IEICE Transaction Fundamentals, Vol.E83-A, No.2, pp.261-266, February. 2000
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Conference/Workshop papers |
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[49] K. Shiraga, Y. Makihara, D. Muramatsu, T. Echigo, Y. Yagi, GEINet: View-Invariant Gait Recognition Using a Convolutional Neural Network, In Proc. of the 8th IAPR Int. Conf. on Biometrics (ICB 2016), pp.1-8, Halmstad, Sweden, Jun., 2016 [Honorable Mention Paper Award]
[48] Y. Makihara, T. Kimura, F. Okura, I. Mitsugami, M. Niwa, C. Aoki, A. Suzuki, D. Muramatsu, Y. Yagi, Gait Collector: An Automatic Gait Data Collection System in Conjunction with an Experience-based Long-run Exhibition, In Proc. of the 8th IAPR Int. Conf. on Biometrics (ICB 2016), pp.1-8, Halmstad, Sweden, Jun., 2016
[47] D. Muramatsu, Y. Makihara, Y. Yagi,Gait Regeneration for Recognition, In Proc. of the 7th IAPR Int. Conf. on Biometrics (ICB 2015), Paper ID 60, Phuket, Thailand, May, 2015 (Oral presentation).
[46] T. Kimura, Y. Makihara, D. Muramatsu, 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, Phuket, Thailand, May, 2015 (Oral presentation at Best-Reviewed Papers Session).
[45] Y. Makihara, A. Mansur, D. Muramatsu, Z. Uddin and Y. Yagi, Multi-view Discriminant Analysis with Tensor Representation and Its Application to Cross-view Gait Recognition, The 11th IEEE International Conference on Automatic Face and Gesture Recognition Conference, 2015
[44] 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), 2014.
[43] 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), 2014.
[42] D. Muramatsu, Y. Makihara, and Y. Yagi, View Transformation-based Cross View Gait Recognition Using Transformation Consistency Measure, 2nd International Workshop on Biometrics and Forensics 2014 (Best Paper Award)
[41] Y. Makihara, D. Muramatsu, and Y. Yagi, Are Intermediate Views Beneficial for Gait Recognition using a View Transformation Model?, 20th Korea-Japan Joint Workshop on Frontiers of Computer Vision, 2014
[40] D. Muramatsu, Y. Makihara, and Y. Yagi, Quality-dependent View Transformation Model for Cross-view Gait Recognition, Proc. The IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems, Sep. 2013
[39] Y. Sato, F. Akazawa, D. Muramatsu, T. Matsumoto, A. Nakamura, T. Sota, An Authentication Method by High Spectral Resolution Palm Datacube, IEEE ICBAKE, July, 2013
[38] D. Muramatsu, H. Iwama, Y. Makihara, and Y. Yagi, Multi-view Multi-modal Person Authentication from a Single Walking Image Sequence, The 6th IAPR International Conference on Biometrics, June, 2013
[37] D. Muramatsu and Y. Yagi, Silhouette-based online signature verification using pen tip trajectory and pen holding style, The 6th IAPR International Conference on Biometrics, June, 2013
[36] Y. Makihara, D. Muramatsu, H. Iwama, and Y. Yagi, On Combining Gait Features, Proc. of the 9th IEEE Conference on Automatic Face and Gesture Recognition (FG 2013), Shanghai, China, April. 2013
[35] D. Muramatsu and Y. Yagi,
Attacks Using Random Forgery Against DTW-Based Online Signature Verification Algorithm, IEEE International Conference on Systems, Man, and Cybernetics, 2012
[34] D. Muramatsu, A. Shiraishi, Y. Makihara and Y. Yagi, Arbitrary View Transformation Model for Gait Person Authentication,IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems, 2012
[33] H. Iwama, D. Muramatsu, Y. Makihara and Y. Yagi, Gait-based Person-Verification System for Forensics, IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems, 2012
[32] Y. Makihara, M.A. Hossain, D. Muramatsu, and Y. Yagi, Score-level Fusion based on the Direct Estimation of the Bayes Error Gradient Distribution, Proceedings of the International Joint Conference on Biometrics (IJCB2011), Paper ID 197, pp. 1-8, 2011
[31] N. Houmani, S. Garcia-Salicetti, B. Dorizzi, J. Montalvao, J.C. Canuto, M.V. Andrade, Y. Qiao, X. Wang, T. Scheidat, A. Makrushin, D. Muramatsu, J. Putz-Leszczynska, M. Kudelski, M. Faundez-Zanuy, J.M. Pascual-Gaspar, V. Cardenoso-Payo, C. Vivaracho-Pascual, E. Argones Riia, J.L. Alba-Castro, A. Kholmatov, B. Yanikoglu, BioSecure Signature Evaluation Campaign (ESRA'2011): evaluating systems on quality-based categories of skilled forgeries, Proceedings of the International Joint Conference on Biometrics (IJCB2011), 2011
[30] D. Muramatsu, Random Forgery Attacks against DTW-Based Online Signature Verification Algorithm, Proceedings of the 26th Symposium On Applied Computing, 2011
[29] S. Shirato, D. Muramatsu, and T. Matsumoto, Camera-Based Online Signature Verification System -Effects of Camera Positions-, Proceedings of World Automation Congress, 2010
[28] Y. Hashimoto, D. Muramatsu, H. Ogata, Biometric Person Authentication Method Using Features Extracted from Pen-holding Style, Proceedings of SPIE, Vol. 7708, 77080H, 2010
[27] D. Muramatsu, M. Inuma, J. Shikata, A. Otsuka, Fusion Strategies for Boosting Cancelable Online Signature Verification, Proceedings of SPIE, Vol. 7708, 770809, 2010
[26] D. Muramatsu and T. Matsumoto, Online Signature Verification Algorithm with a User-Specific Global-Parameter Fusion Model, Proceedings of IEEE International Conference on Systems, Man, and Cybernetics, pp.492-497, 2009
[25] D. Muramatsu, K. Yasuda, S. Shirato and T. Matsumoto, Camera-Based Online Signature Verification with Sequential Marginal Likelihood Change Detector, Proceedings of 13th International Conference on Computer Analysis of Images and Patterns, Lecture Notes in Computer Science, Vol.5702, pp. 229-236, 2009
[24] D. Muramatsu and T. Matsumoto, Biometric Person Authentication Method Using Camera-Based Online Signature Acquisition, Proceedings of International Conference on Document Analysis and Recognition, pp. 46-50, 2009
[23] K. Yasuda, D. Muramatsu and T. Matsumoto,Visual-based Online Signature Verification by Pen Tip Tracking, Proceedings of CIMCA 2008, pp.175-180, 2008
[22]
D. Muramatsu, Online Signature Verification Using Hill-Climbing Method, Proceedings of.IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, Vol.2, pp133-138, 2008
[21] K. Koishi, S. Kinoshita, D. Muramatsu and T. Matsumoto, Online Signature Verification Based on User-Generic Model with Markov Chain Monte Carlo, Taking into Account User Individuality, Proceedings of SCIS & ISIS 2008, pp.1635-1640, 2008
[20] D. Muramatsu and T. Matsumoto, Effectiveness of Pen Pressure, Azimuth and Altitude Features of Online Signature Verification, Proceedings of International Conference on Biometrics, Lecture Notes in Computer Science, Vol.4642, pp.503-512, 2007
[19] S. Kinoshita, D. Muramatsu and T. Matsumoto, Online Signature Verification Based on User-generic Fusion Model with Markov Chain Monte Carlo Method, Proceedings of International Symposium on Intelligent Signal Processing and Communication Systems, pp.391-394, 2006
[18] Y. Kato, D. Muramatsu and T. Matsumoto, Signature Verification using a Monte Carlo-based Updating Algorithm Adapted to Intersession Variability, Proceedings of International Symposium on Intelligent Signal Processing and Communication Systems, pp.387-390, 2006
[17] Y. Kato, D. Muramatsu and T. Matsumoto, A Sequential Monte Carlo Algorithm for Adaptation to Intersession Variability in On-line Signature Verification, Proceedings of the 10th International Workshop on Frontiers in Handwriting Recognition, pp.467-472, 2006
[16] Y. Hongo, D. Muramatsu, and T. Matsumoto, Modification on Intersession Variability in On-Line Signature Verifier, Proceedings of Audio- and Video-Based Biometric Person Authentication, Lecture Notes in Computer Science, Vol. 3546, pp. 455-463, 2005
[15] Y. Hongo, D. Muramatsu, and T. Matsumoto, AdaBoost-based on-line signature verifier, Proceedings of SPIE, Vol. 5779, pp. 373-380, 2005
[14] A. Funada, D. Muramatsu, and T. Matsumoto, The Reduction of Memory and the Improvement of Recognition Rate for HMM On-line Handwriting Recognition, Proceedings of 9th International Workshop on Frontiers in Handwriting Recognition, pp. 383-388, 2004
[13] T. Kaburagi, D. Muramatsu, S. Hashimoto, M. Sasaki, and T. Matsumoto, Transmembrane Region Prediction with Hydropathy Index/Charge Two-Dimensional Trajectories of Stochastic Dynamical Systems, Proceedings of the Second Asia Pacific Bioinformatics Conference, pp. 35-42, 2004
[12] D. Muramatsu, S. Hashimoto, T. Tsunashima, T. Kaburagi, M. Sasaki, and T. Matsumoto, Inferring Transmembrane Region Counts with Hydropathy Index/Charge Two Dimensional Trajectories of Stochastic Dynamical Systems, Proceedings of 2003 IEEE Workshop on Neural Networks for Signal Processing, Special Session on Bioinformatics, pp. 101-110, 2003
[11] M. Kondo, D. Muramatsu, M. Sasaki, and T. Matsumoto, Nonlinear Separation of Signature Trajectories for On-line Personal Authentication, Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, Vol. 2, pp. 349-352, 2003
[10] M. Kondo, D. Muramatsu, M. Sasaki, and T. Matsumoto, Bayesian MCMC For Biometric Person Authentication Incorporating On-line Signature Trajectories, Proceedings of Signal Processing, Pattern Recognition and Applications, pp.269-273, 2003
[9] M. Kondo, D. Muramatsu, M. Sasaki, and T. Matsumoto, Nonlinear Separation of Signature Trajectories for On-line Personal Authentication, Proceedings of 2003 IEEE International Conference on Multimedia and Expo., Vol. 3, pp. 89-92, 2003
[8] D. Muramatsu and T. Matsumoto, An HMM On-line Signature Verifier Incorporation Signature Trajectories, Proceedings of 7th International Conference on Document Analysis and Recognition, Vol. 1, pp. 438-442, 2003
[7] D. Muramatsu and T. Matsumoto An HMM On-line Signature Verification with Pen Position Trajectories, Proceedings of the 2003 International Conference on Artificial Intelligence, pp. 299-303, 2003
[6] M. Kondo, D. Muramatsu, M. Sasaki, and T. Matsumoto, A Bayesian MCMC On-line Signature Verification, Proceeding of 5th International Conference Audio-and Video-Based Biometric Person Authentication, Lecture Notes in Computer Science, Vol. 2688, pp. 540-548, 2003
[5] D. Muramatsu and T. Matsumoto, An HMM On-line Signature Verification Algorithm, Proceeding of 5th International Conference Audio-and Video-Based Biometric Person Authentication, Lecture Notes in Computer Science, Vol. 2688, pp. 233-241, 2003
[4] D. Sakamoto, M. Kondo, H. Morita, D. Muramatsu, M. Sasaki, T. Matsumoto, Dynamic Biometric Person Authentication Using Pen Signature Trajectories, Proceedings of 9th International Conference on Neural Information Processing, 2002（Invited）
[3] K. Hadidi, D. Muramatsu, T. Oue, T. Matsumoto, A 500MS/sec ?54dB THD S/H Circuit in a 0.5μm CMOS Process, Proceedings of IEEE European Solid-State Circuit Conference, pp.158-161, 1999
[2] K. Hadidi, J. Sobhi, A. Hasankhaan, D. Muramatsu, T. Matsumoto, A Novel Highly Linear CMOS Buffer, Proceedings of IEEE International Conference on Electronics on Electronics, Circuits and Systems, pp. 369-371, 1998
[1] K. Hadidi, M. Sasaki, T. Watanabe, D. Muramatsu, T. Matsumoto, An Open-Loop Full CMOS 103MHz -61dB THD S/H Circuit, Proceedings of the IEEE 1998 Custom Integrated Circuits Conference, pp. 381?383, 1998
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Book Chapter |
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[1] O. Henniger, D. Muramatsu, T. Matsumoto, I. Yoshimura, M. Yoshimura, Signature Recognition, in Encyclopedia of Biometrics, Stan Z. Li (ed), Springer Science+Business Media, LLC, New York, pp.1196-1205, 2009
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