Gait recognition under various viewing angles based on correlated motion regression
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]
|Collections||ANU Research Publications|
|Source:||IEEE Transactions on Circuits and Systems for Video Technology|
|01_Kusakunniran_Gait_recognition_under_various_2012.pdf||6.15 MB||Adobe PDF||Request a copy|
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