Title :
A lightweight multiview tracked person descriptor for camera sensor networks
Author :
Quinn, Michael J. ; Kuo, Thomas ; Manjunath, B.S.
Author_Institution :
Santa Barbara Dept. of Electr. & Comput. Eng., Univ. of California, Santa Barbara, CA
Abstract :
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, 7pi/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.
Keywords :
object detection; video surveillance; camera sensor networks; lightweight multiview tracked person descriptor; object tracking; surveillance video; video indexing; Assembly; Biological system modeling; Cameras; Footwear; Head; Histograms; Humans; Sensor phenomena and characterization; Surveillance; Torso; Appearance Modeling; Camera Networks; Surveillance; Tracking; Video Indexing;
Conference_Titel :
Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-1765-0
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2008.4712170
