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Gait Recognition System: Bundle Rectangle Approach

Authors: Edward Guillen, Daniel Padilla, Adriana Hernandez, Kenneth Barner


Biometrics methods include recognition techniques such as fingerprint, iris, hand geometry, voice, face, ears and gait. The gait recognition approach has some advantages, for example it does not need the prior concern of the observed subject and it can record many biometric features in order to make deeper analysis, but most of the research proposals use high computational cost. This paper shows a gait recognition system with feature subtraction on a bundle rectangle drawn over the observed person. Statistical results within a database of 500 videos are shown.

Keywords: Security, Biometrics, Human identification, gait recognition, Autentication

Digital Object Identifier (DOI):

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[1] K.L. Kroeker, "Graphics and security: exploring visual biometrics," IEEE Computer Graphics and Applications, Volume 22, Issue 4, pp.16- 21, July-August 2002.
[2] N.V. Boulgouris, D. Hatzinakos, and K.N. Plataniotis, "Gait recognition: a challenging signal processing technology for biometric identification", IEEE Signal Processing Magazine, Volume 22, Issue 6, pp. 78-90, November 2005.
[3] G. Johansson, "Visual perception of biological motion and a model for its analysis," Percept. Psycophysics, vol. 14, no. 2, pp. 201-211, 1973.
[4] J.E. Cutting and L.T. Kozlowski, "Recognizing friends by their walk: Gait perception without familiarity cues," Bulletin Psychonomic Soc., vol. 9, no. 5, pp. 353-356, 1977.
[5] M. Carhart, W. Willis, A. Thompson, H. Huang, S. D'Luzansky, J. Thresher, R. Herman, and J. He, "Mechanical and metabolic changes in gait performance with spinal cord stimulation and reflex-FES," Proceedings of the 25th Annual International Conference of the IEEE, 2003. Volume 2, pp.1558-1561 Vol.2, 17-21 September 2003.
[6] A. Aburadani, H. Nishi, S. Inoue, and H. Suzuki, "Animal Gait Generation for Quadrupedal Robot," ICICIC '07. Second International Conference on Innovative Computing, Information and Control, 2007, pp. 20-20, 5-7 September 2007.
[7] I.T, Young, J Gerbrands, L. van Vliet, Fundamentals of Image Processing, Delft University of Technology, Delft, 1995
[8] Q. Huang, J. Yang, Zhangguo YU, Wei XU, Jianxi LI, KeJie LI, "Measurement of Human Walking and Generation of Humanoid Walking Pattern," Proceedings of the 2007 IEEE International Conference on Robotics an Biomimetics, December 15 -18, 2007.
[9] N. Shiozawa, S. Arima, M. Makikawa, "Virtual Walkway System and Prediction of Gait Mode Transition for the Control of the Gait Simulator," Proceedings of the 26th Annual International Conference of the IEEE EMBS, September 1-5, 2004.
[10] Xu HAN, Jiwei LIU, Lei LI and Zhiliang Wang, "Gait Recognition Considering Directions of Walking," Information and Engineering School. University of Science and Technology Beijing (USTB).
[11] P. van Dorp and F.C.A. Groen, "Human Walking Estimation with Radar," IEEE Proc.-Radar Sonar Navig., Vol. 150, No. 5, 356 October2003.
[12] Y. Kobayashi, T. Takashima, M. Hayashi, and H. Fujimoto, "Gait Analysis of People Walking on Tactile Ground Surface Indicators," IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 13, No 1, March 2005.
[13] D. Gafurov, E. Snekkenes and P.Bours, "Spoof Attacks on Gait Authentication System," IEEE Transactions on Information Forensics and Security, Vol. 2, No 3, September 2007.
[14] C. BenAbdelkadery, R. Cutlerz, H. Nanday and L. Davis, "EigenGait: Motion-based Recognition of People using Image Self-Similarity," Microsoft Research, One Microsoft Way.
[15] Q. Ma1, S. Wang, D. Nie and J. Qiu, "Recognizing Humans Based on Gait Moment Image," Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2007.
[16] Hong-Guili1 , Cui-Ping Shi, Xing-Guoli, "LLE Based Gait Recognition," Proceedings of the Fourth International Conference on Machine Learning and Cybernetics, Guangzhou, 18-21 August 2005. 2
[17] Cheng-Chang Lien, Chih-Chiang Tien, Jia-Ming Shih, "Human Gait Recognition for Arbitrary View Angles," Department of Computer Science and Information Engineering, 2007.
[18] Z. Liu and S. Sarkar, "Effect of Silhouette Quality on Hard Problems in Gait Recognition," IEEE Transactions on Systems, Man and Cybernetics- Part B: Cybernetics, Vol. 35, No 2, April 2005.
[19] Dong Xu, Shuicheng Yan, Dacheng Tao, Lei Zhang, Xuelong Li, and Hong-Jiang Zhang, "Human Gait Recognition with Matrix Representation," IEEE Transactions on Circuits and Systems for Video Technology, Vol.16, No , July 2006.
[20] S. Hong, H. Lee, I. Nizami, and E. Kim, "A New Gait Representation for Human Identification: Mass Vector," Second IEEE Conference on Industrial Electronics and Applications, 2007.
[21] S. Rahati, R. Moravejian and F. Mohamad Kazemi, "Gait Recognition Using Wavelet Transform," Fifth International Conference on Information Technology: New Generations, 2008.
[22] K. Sugiura, Y. Makihara, and Y. Yagi, "Gait Identification Based on Multi-View Observations Using Omnidirectional Camera," Y.Yagi et al. (Eds.), Part I, pp. 452-461, 2007.
[23] R. Chellappa, Amit K. Roy- Chowdhury, "Human Identification Using Gait and Face," Siemens Informations Systems Ltd, 2007.
[24] D. Tan, K. Huang, S. Yu, and T. Tan, "Uniprojective Features for Gait Recognition," S.-W. Lee and S.Z. Li, pp. 673-682, 2007.
[25] R. Gross and J. Shi, "The CMU Motion of Body (MoBo) Database," Robotics Institute Carnegie Mellon University, June 2001.
[26] Hee-Deok Yang and Seong-Whan Lee, "Reconstruction of 3D Human Body Pose for Gait Recognition," D. Zhang and A.K. Jain, pp. 619 - 625, 2005.
[27] A. Bissacco, A. Chiuso, Yi Ma and Stefano Soatto, "Recognition of Human Gaits."
[28] L. Wang, T. Tan, Weiming Hu, and H. Ning, "Automatic Gait Recognition Based on Statiscal Shape Anallysis," IEEE Transactions on Image Processing, Vol.12, No 9, September 2003.
[29] A. Kale , N. Cuntoor , B. Yegnanarayana_ , A.N Rajagopalan_ , and R. Chellappa, "Gait Analysis for Human Identification", Centre for Automation Research, University of Maryland