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A lightweight multiview tracked person descriptor for camera sensor networks

9 years 4 months ago
A lightweight multiview tracked person descriptor for camera sensor networks
We present a simple multiple view 3D model for object tracking and identification in camera networks. Our model is composed of 8 distinct views in the interval 0, 7 4 . Each of the 8 parts describes the person's appearance from that particular viewpoint. The model contains both color and structure information about each view which are assembled into a single entity and is meant as a simple, lightweight object representation for use in camera sensor networks. It is versatile in that it can be gradually assembled on-line while a person is tracked. The model's ease of use and effectiveness for identification in surveillance video is demonstrated.
Michael J. Quinn, Thomas Kuo, B. S. Manjunath
Added 20 Oct 2009
Updated 27 Oct 2009
Type Conference
Year 2008
Where ICIP
Authors Michael J. Quinn, Thomas Kuo, B. S. Manjunath
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