Modelling the Effect of View Angle Variation on Appearance-Based Gait Recognition
In recent years, many gait recognition algorithms have been developed, but most of them depend on a specific view angle. However, view angle variation is a significant factor among those that affect gait recognition performance. It is important to find the relationship between the performance and the view angle. In this paper, we discuss the effect of view angle variation on appearance-based gait recognition performance. A multi-view gait database (124 subjects and 11 view directions) is created for our research. We propose two models, a geometrical one and a mathematical one, to model the effect of view angle variation on appearance-based gait recognition. These models will be valuable for designing robust gait recognition systems.
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- 1.Murray, M.P.: Gait as a total pattern of movement. American Journal of Physical Medicine 46(1), 290–332 (1967)Google Scholar
- 3.Johnson, A.Y., Bobick, A.F.: A multi-view method for gait recognition using static body parameters. In: Proc. of 3rd International Conference on Audio and Video Based Biometric Person Authentication, pp. 301–311 (2001)Google Scholar
- 4.Kale, A., Chowdhury, A.K.R., Chellappa, R.: Towards a view invariant gait recognition algorithm. In: Proc. of IEEE Conference on Advanced Video and Signal Based Surveillance, FL, USA, pp. 143–150 (2003)Google Scholar
- 5.Shutler, J.D., Grant, M.G., Nixon, M.S., Carter, J.N.: On a large sequence-based human gait database. In: Proc. of the 4th International Conference on Recent Advances in Soft Computing, pp. 66–72 (2002)Google Scholar
- 6.Center for biometrics and security research, casia, http://www.cbsr.ia.ac.cn
- 7.Han, J., Bhanu, B.: Statistical feature fusion for gait-based human recognition. In: Proc. of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Washington DC, USA, pp. II842–II847 (2004)Google Scholar
- 8.Yu, S., Wang, L., Hu, W., Tan, T.: Gait analysis for human identification in frequency domain. In: Proc. of the 3rd International Conference on Image and Graphics, Hong Kong, China, pp. 282–285 (2004)Google Scholar