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