Person Reidentification using Spatiotemporal Appearance
In many surveillance applications it is desirable to determine if a given individual has been previously observed over a network of cameras. This is the person reidentification problem. This paper focuses on reidentification algorithms that use the overall appearance of an individual as opposed to passive biometrics such as face and gait. Person reidentification approaches have two aspects: (i) establish correspondence between parts, and (ii) generate signatures that are invariant to variations...[Show more]
|Collections||ANU Research Publications|
|Source:||Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition|
|01_Gheissari_Person_Reidentification_using_2006.pdf||536.61 kB||Adobe PDF||Request a copy|
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