Abstract

This paper introduces a new gait recognition approach based on shoulder body joint using in intersection point. This approach is tested on a CASIA database of video sequences, corresponding 10 different subject of people. Obtained better recognition rate as compared to other methods. Consider two component of human body. The first component is shoulder and second component is feet. The second component is subdivided into two parts i. e. toe and heel of both right and left leg. Our proposed method increase the matching accuracy with 98 and 100 percent.

References

• M. P. Murray, "Gait as a total pattern of movement", American journal of Physical medicine 46(1):290-333, 1967.
• G. Johnsson, " Visual perception of biological motion and a model for its Analysis, Perception Psychophys", IEEE conference on intelligent control and automa,vol14(2) 201-211, 1973.
• Weiinin, Ying, Hongzhe, Lun', Zluliang, Fengjun, "New Approach of G ait Recognition For Human ID",IEEE International conference on signal processing, vol 3(2715p),pp 199-202, 2004.
• Xiaxi Huang and Nikolaos V. Boulgouris, "Gait Recognition Using Multipal Views", IEEEConferenceon Acoustics,speech and signal Processing( ICASSP), vol. 39, pp. 969–979, 2008.
• X. Yang,Y. Zhou,T. Zhang,J. Yang, "Gabor phase based gait recognition", IEEE Journal on pattern analysis and machine,Vol. 44 No. 10,8th May 2008.
• Khalid Bashir, Tao Xiang, Shaogang Gong: "Feature selection on gait energy image for human identification",IEEE International Conference on Acoustics, Speech, and Signal Processing ,pp 44-50,2008
• Xuelong Li, Stephen J. Maybank,Shuicheng Yan, Dacheng Ta, and Dong Xu,,"Gait Components and Their Application to Gender Recognition", IEEE Transactions on Systems, Man, and Cybernetics Part C Applications and Reviews, vol. 38, no. 2, March 2008.
• Byungyun Lee, Sungjun Hong, Heesung Lee, Euntai Kim,"Gait Recognition System using Decision-Level Fusion",5th IEEE conference on industrial electronics and application,pp. 313-316,2010.
• Jasvinder pal singh and Sanjeev jain, "Person Identification Based on Gait using Dynamic Body Parameters", IEEE International Conference on Trendz in Information Sciences & Computing (TISC),pp: 248 – 252, 2010
• Ai-Hua Wang. Ji-Weiliu. "A Gait Recognition Method Based On Positioning Human Body Joint". IEEE International Conference On wavelet analysis and Pattern Recognition,vol 3,pp. 1067-1071,2007.
• James R. Gage,Peter A. Deluca ,Thomas S. Renshaw "Gait Analysis Principles and Applications",The Journal of bone and joint surgery, vol. 77,1607-1623, 1995.
• James R. Gage, Peter A. Deluca and Thomas S. Rensha, "Gait Analysis: Principles and Applications", Journal of Bone & Joint Surgery, Volume 77, Issue 10, pp 1607-1623, October 1995.
• Nikolaos V. Boulgouris, Dimitrios Hatzinakos, and Konstantinos N. Plataniotis, "A challenging signal processing technology for biometric identification", IEEE Signal Processing Magazine, pp 56-70, November 2005.
• Joao P. Ferreira, Manuel Crisostomo, A. Paulo Coimbra, David Carnide, and Antonio Marto:"A Human Gait Analyzer",IEEE international symposium on intelligent signal processing, October 2007 .
• Center for Biometrics and Security Research (CBSR).
• Zhang Zhen, Wang Zhen, Yao Songli, Zhang Yanan and Qian, Jinwu, "Research on Control of an Exoskeletal Ankle with Surface Electromyography Signals", The second International Conference on Bioinformatics and Biomedical Engineering(ICBBE), pp. 1301 – 1304, 2008.