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Automatic gait recognition using weighted binary pattern on video

Kusakunniran, Worapan; Wu, Qiang; Li, Hongdong; Zhang, Jian (Andrew)


Human identification by recognizing the spontaneous gait recorded in real-world setting is a tough and not yet fully resolved problem in biometrics research. Several issues have contributed to the difficulties of this task. They include various poses, different clothes, moderate to large changes of normal walking manner due to carrying diverse goods when walking, and the uncertainty of the environments where the people are walking. In order to achieve a better gait recognition, this paper...[Show more]

CollectionsANU Research Publications
Date published: 2009
Type: Conference paper
Source: 6th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2009
DOI: 10.1109/AVSS.2009.44


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