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.

[1]  Mark S. Nixon,et al.  On a Large Sequence-Based Human Gait Database , 2004 .

[2]  Aaron F. Bobick,et al.  A Multi-view Method for Gait Recognition Using Static Body Parameters , 2001, AVBPA.

[3]  Tieniu Tan,et al.  Gait analysis for human identification in frequency domain , 2004, Third International Conference on Image and Graphics (ICIG'04).

[4]  Tieniu Tan,et al.  Silhouette Analysis-Based Gait Recognition for Human Identification , 2003, IEEE Trans. Pattern Anal. Mach. Intell..

[5]  Sudeep Sarkar,et al.  The humanID gait challenge problem: data sets, performance, and analysis , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[6]  Bir Bhanu,et al.  Statistical feature fusion for gait-based human recognition , 2004, CVPR 2004.

[7]  Rama Chellappa,et al.  Towards a view invariant gait recognition algorithm , 2003, Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance, 2003..

[8]  M. P. Murray.  Gait as a total pattern of movement. , 1967, American journal of physical medicine.