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

fYear

2008

fDate

12-15 Oct. 2008

Firstpage

1976

Lastpage

1979

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on

Conference_Location

San Diego, CA

ISSN

1522-4880

Print_ISBN

978-1-4244-1765-0

Electronic_ISBN

1522-4880

Type

conf

DOI

10.1109/ICIP.2008.4712170

Filename

4712170