DocumentCode :
1575667
Title :
A Real-Time 3D Human Body Tracking and Modeling System
Author :
Jing-Feng Li ; Yi-Hua Xu ; Yang Chen ; Yun-De Jia
Author_Institution :
Dept. of Comput. Sci. & Eng., Beijing Inst. of Technol., China
fYear :
2006
Firstpage :
2809
Lastpage :
2812
Abstract :
In this paper a real-time system for 3D human upper body tracking and modeling is proposed. The system uses multiple cameras to recover the depth maps in real-time, then integrates both color and depth information to track the human body, head, and hands, and finally recovers the 3D upper body model parameters from the tracking results. Extensive experiments demonstrate that the system can track and rebuild human model in complicated situations. The system makes good tradeoff between the accuracy and system simplicity, and can be widely used in many applications, such as desktop interaction and digital entertainments.
Keywords :
cameras; computer vision; image colour analysis; image motion analysis; image sensors; real-time systems; tracking; color information; depth information; multiple cameras; real-time 3D human body tracking; Application software; Biological system modeling; Cameras; Face detection; Head; Hidden Markov models; Humans; Motion analysis; Real time systems; Tracking; Machine vision; Modeling; Particle tracking; Stereo vision;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2006 IEEE International Conference on
Conference_Location :
Atlanta, GA
ISSN :
1522-4880
Print_ISBN :
1-4244-0480-0
Type :
conf
DOI :
10.1109/ICIP.2006.312992
Filename :
4107153
Link To Document :
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