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.

• Type: Conference
• Year: 2008
• Where: ICIP
• Authors: Michael J. Quinn, Thomas Kuo, B. S. Manjunath
• Keywords: Camera Networks, Camera Sensor Networks, ICIP 2008, Image Processing, Lightweight Object Representation, Object Tracking, View 3D Model