Gait Image Segmentation Based Background Subtraction

Gait represents a potential biometric as humans can perceive it. It is attractive because it requires no contact and less likely to be concealed. In gait recognition processes, gait image segmentation is important to final recognition result. In this paper, based on background subtraction, a segmentation method is proposed. The experiment results show the effectiveness of the proposed method.

[1]  Bir Bhanu,et al.  Individual recognition using gait energy image , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

[3]  W. Eric L. Grimson,et al.  Gait analysis for recognition and classification , 2002, Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition.

[4]  Han Su,et al.  Human gait recognition based on motion analysis , 2005, 2005 International Conference on Machine Learning and Cybernetics.

[5]  Koichiro Akita,et al.  Image sequence analysis of real world human motion , 1984, Pattern Recognit..

[6]  Mark S. Nixon,et al.  Automatic extraction and description of human gait models for recognition purposes , 2003, Comput. Vis. Image Underst..

[7]  Rama Chellappa,et al.  Role of shape and kinematics in human movement analysis , 2004, CVPR 2004.

[8]  Shaogang Gong,et al.  Gait recognition without subject cooperation , 2010, Pattern Recognit. Lett..

[9]  Robert T. Collins,et al.  Silhouette-based human identification from body shape and gait , 2002, Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition.

[10]  Mark S. Nixon,et al.  Gait Recognition By Walking and Running: A Model-Based Approach , 2002 .

[11]  Tieniu Tan,et al.  Automatic gait recognition based on statistical shape analysis , 2003, IEEE Trans. Image Process..

[12]  Mark S. Nixon,et al.  Model-driven statistical analysis of human gait motion , 2002, Proceedings. International Conference on Image Processing.