International Journal of Image, Graphics and Signal Processing (IJIGSP)
IJIGSP Vol. 4, No. 2, 8 Mar. 2012
Cover page and Table of Contents: PDF (size: 273KB)
Human Identification by Gait Using Corner Points
Full Text (PDF, 273KB), PP.30-36
Views: 0 Downloads: 0
Author(s)
Index Terms
Gait recognition, silhouettes, Edge Detection, corner detection, control points
Abstract
Recently human gait has become a promising and very important biometric for identification. Current research on gait recognition is usually based on an average gait image or a silhouette sequence, or a motion structure model. In this paper, the information about gait is obtained from the disparity on time and space of the different parts of the silhouette. This paper proposes a gait recognition method using edge detection, identification of corner points from edges, and selection of control points out of those corner points. Here, the images of moving human figures are subtracted from background by simple background modeling technique to obtain binary silhouettes. A gait signature of a person is taken as silhouette images of a complete gait cycle. A complete gait cycle is then divided into different frames in such a way that the information of the person’s gait style can be represented fully. One given unknown gait cycle is compared with stored gait cycles in terms of a cyclic distances between control points of an image of input gait cycle with that of corresponding image of the stored gait cycle. Experimental results show that our method is encouraging in terms of recognition accuracy.
Cite This Paper
Mridul Ghosh,Debotosh Bhattacharjee,"Human Identification by Gait Using Corner Points", IJIGSP, vol.4, no.2 ,pp.30-36,2012. DOI: 10.5815/ijigsp.2012.02.05
Reference
[1]R. Zhang, C.Vogler, and D. Metaxas, “Human gait recognition” IEEE Workshop on Articulated and Nonrigid Motion, 2004.
[2]Jiwen Lu, ErhuZhang, “Gait recognition for human identification based on ICA and fuzzy SVM through multiple views fusion”, Pattern Recognition Letters 28 (2007) 2401–2411.
[3]James B. Hayfron-Acquah, Mark S. Nixon, John N. Carter “Automatic gait recognition by symmetry analysis” Pattern Recognition Letters xxx (2003) xxx–xxx.
[4]Wang, L., Tan, T., Ning, Z., Hu, W., 2003. “Silhouette analysis-based gait recognition for human identification”. IEEE Trans. Pattern Anal. Machine Intell. 25 (9), 1505–1518.
[5]Elif AYBAR,”Sobel Edge Dtection Method for Matlab” Anadolu University, Porsuk Vocational School, 26410 Eskisehir
[6]SOBEL, I., An Isotropic 3×3 Gradient Operator, Machine Vision for Three – Dimensional Scenes, Freeman, H., Academic Pres, NY, 376-379, 1990.
[7]SOBEL, I., Camera Models and Perception, Ph.D. thesis, Stanford University, Stanford, CA, 1970.
[8]Liang Wang, Tieniu Tan, Senior Member, IEEE, Huazhong Ning, and Weiming Hu “Silhouette Analysis-Based Gait Recognition for Human Identification” IEEE Transactions On Pattern Analysis And Machine Intelligence, Vol 25. No 12, December 2003.
[9]Brian DeCann and ArunRoss, ”Gait Curves for Human Recoognition, Backpack Detection and Silhouette Correction in a nighttime Environmant”, USA Proc. of SPIE Conference on Biometric Technology for Human Identification VII, (Orlando, USA), April 2010.
[10]L. Wang, H. Ning, W. Hu, and T. Tan, “Gait recognition based on procrustes shape analysis,” Proceedings of the IEEE International Conference on Image Processing, pp. 433–436, 2002.
[11]E. Argyle. “Techniques for edge detection,” Proc. IEEE, vol. 59, pp. 285-286, 1971.
[12]Raman Maini & Dr. Himanshu Aggarwal. ”Study and Comparison of Various Image Edge Detection Techniques” International Journal of Image Processing (IJIP), Volume (3): Issue (1).
[13]R. C. Gonzalez and R. E. Woods. “Digital Image Processing”. 3rd ed. Prentice Hall, 2002.
[14]C. Harris and M. Stephens (1988). "A combined corner and edge detector". Proceedings of the 4th Alvey Vision Conference. pp. 147–151.
[15]G. Veres, L. Gordon, J. Carter, and M. Nixon, “What Image Information is Important in Silhouette–based Gait Recognition?” CVPR, vol. 2, pp. 776–782, 2004.
[16]C. Harris and M. Stephens (1988). "A combined corner and edge detector". Proceedings of the 4th Alvey Vision Conference. pp. 147–151.
[17]J. Matthews. “An introduction to edge detection: The sobel edge detector,” Available at http://www.generation5.org/ content/2002/im01.asp, 2002.
[18]CASIA gait database http://www.sinobiometrics.com