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Gait recognition under various viewing angles based on correlated motion regression

Kusakunniran, Worapan; Wu, Qiang; Zhang, Jian; Li, Hongdong

Description

It is well recognized that gait is an important biometric feature to identify a person at a distance, e.g., in video surveillance application. However, in reality, change of viewing angle causes significant challenge for gait recognition. A novel approach using regression-based view transformation model (VTM) is proposed to address this challenge. Gait features from across views can be normalized into a common view using learned VTM(s). In principle, a VTM is used to transform gait feature from...[Show more]

CollectionsANU Research Publications
Date published: 2012
Type: Journal article
URI: http://hdl.handle.net/1885/64743
Source: IEEE Transactions on Circuits and Systems for Video Technology
DOI: 10.1109/TCSVT.2012.2186744

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