Abstract:Recognizing people by their gait is a recent research hotspot. Compared with other biometrics, gait has the following three advantages: distant recognition, uninvasive and difficult to conceal. A new gait recognition method based on the dynamic energy feature is proposed in this paper. Firstly, the background is initialized automatically in the gait sequence. Then the binary silhouette of a walking person is detected by background subtraction technology. Next, the dynamic energy feature matrixes are extracted from binary silhouette sequences. Finally, the correlation coefficient measure and two different classification methods (NN and KNN) are used to recognize different subjects. Experimental results show that the new method is effective. Recognition rate of over 90% on both UCSD database and CMU database are achieved.
[1] Shutler J D, Nixon M S. Zernike Velocity Moments for Description and Recognition of Moving Shapes // Proc of the British Machine Vision Conference. Manchester, UK, 2001, Ⅱ: 705714 [2] Kale A, Rajagopalan A, Cuntoor N, et al. Gait Based Recognition of Humans Using Continuous HMMs // Proc of the 5th IEEE International Conference on Automatic Face and Gesture Recognition. Washinton, USA, 2002: 336341 [3] Wang Liang, Ning Huazhong, Hu Weiming. Gait Recognition Based on Procrustes Shape Analysis // Proc of the IEEE International Conference on Image Processing. Rochester, USA, 2002, Ⅲ: 433436 [4] Wang Liang, Hu Weiming, Tan Tieniu. GaitBased Human Identification. Chinese Journal of Computers, 2003, 26(3): 353360 (in Chinese) (王 亮,胡卫明,谭铁牛.基于步态的身份识别.计算机学报, 2003, 26(3): 353360) [5] Huang P S, Harris C J, Nixon M S. Recognising Humans by Gait via Parametric Canonical Space. Journal of Artificial Intelligence in Engineering, 1999, 13(4): 359366 [6] HayfronAcquah J B, Nixon M S, Carter J N. Automatic Gait Recognition by Symmetry Analysis. Pattern Recognition Letters, 2003, 24(13): 21752183 [7] Cunado D, Nixon M S, Carter J N. Using Gait as a Biometric, via PhaseWeighted Magnitude Spectra // Proc of the International Conference on Audio and VideoBased Biometric Person Authentication. Crans Montana, Switzerland, 1997: 95102 [8] Ning Huazhong , Tan Tieniu, Wang Liang, et al. KinematicsBased Tracking of Human Walking in Monocular Video Sequences. Image and Vision Computing, 2004, 22(5): 429441 [9] Liu Yudong, Su Kaina, Ma Li. Gait Recognition Method Based on Body Skeletal Model. Computer Engineering and Applications, 2005, 41(9):8892 (in Chinese) (刘玉栋,苏开娜,马 丽.一种基于模型的步态识别方法.计算机工程与应用, 2005, 41(9): 8892) [10] Tian Guangjian, Zhao Rongchun. Gait Recognition Based on Fourier Descriptors. Journal of Computer Applications, 2004, 24(11): 124126 (in Chinese) (田光见,赵荣椿.基于傅立叶描绘子的步态识别.计算机应用, 2004, 24(11): 124126) [11] Phillips P J, Sarkar S, Robledo I, et al. The Gait Identification Challenge Problem: Data Sets and Baseline Algorithm // Proc of the 16th International Conference on Pattern Recognition. Québec City, Canada, 2002: 385388 [12] Liu Z Y, Sarkar S. Simplest Representation Yet for Gait Recognition: Averaged Silhouette // Proc of the 17th International Conference on Pattern Recognition. Cambridge, UK, 2004, Ⅳ: 211214