DocumentCode :
2858993
Title :
Multiperspective Thermal IR and Video Arrays for 3D Body Tracking and Driver Activity Analysis
Author :
Cheng, Shinko Y. ; Park, Sangho ; Trivedi, Mohan M.
Author_Institution :
University of California, San Diego
fYear :
2005
fDate :
25-25 June 2005
Firstpage :
3
Lastpage :
3
Abstract :
This paper presents a multi-perspective (i.e., four camera views) multi-modal (i.e., thermal infrared and color) video based system for robust and real-time 3D tracking of important body parts.The multi-perspective characteristics of the system provides 3Dtrajectory of the body parts, while the multi-modal characteristics of the system provides robustness and reliability of feature detection and tracking. The application context for this research is that of intelligent vehicles and driver assistance systems. Experimental results demonstrate effectiveness of the proposed system.
Keywords :
Cameras; Computer vision; Head; Humans; Image color analysis; Infrared detectors; Intelligent vehicles; Real time systems; Robot vision systems; Robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition - Workshops, 2005. CVPR Workshops. IEEE Computer Society Conference on
Conference_Location :
San Diego, CA, USA
ISSN :
1063-6919
Print_ISBN :
0-7695-2372-2
Type :
conf
DOI :
10.1109/CVPR.2005.500
Filename :
1565298
Link To Document :
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