Recognizing gaits across views through correlated motion co-clustering
Human gait is an important biometric feature, which can be used to identify a person remotely. However, view change can cause significant difficulties for gait recognition because it will alter available visual features for matching substantially. Moreover, it is observed that different parts of gait will be affected differently by view change. By exploring relations between two gaits from two different views, it is also observed that a part of gait in one view is more related to a typical part...[Show more]
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|Source:||IEEE Transactions on Image Processing|
|01_Kusakunniran_Recognizing_gaits_across_views_2014.pdf||4.56 MB||Adobe PDF||Request a copy|
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