DocumentCode :
506985
Title :
Adaptive Human Body Tracking and its Abnormality Deportment Analysis
Author :
Wu, Youfu ; Wu, Jing ; Zhou, Gang
Author_Institution :
Guizhou Univ. for Nat., Guiyang, China
Volume :
3
fYear :
2009
fDate :
14-16 Aug. 2009
Firstpage :
503
Lastpage :
507
Abstract :
In this paper, we address these challenges in real-world unconstrained environments where the background is complex and dynamic. In the algorithm proposed, we extract the features in a color space, accumulate the feature information over a short time, and fuse high-level knowledge and low-level feature information. A fuzzy technique is also developed to detach silhouettes of moving objects from a human body silhouette. Experimental results show that our algorithm works efficiently and robustly.
Keywords :
body sensor networks; feature extraction; abnormality deportment analysis; adaptive human body tracking; feature extraction; feature information; fuzzy technique; human body silhouette; real-world unconstrained environments; Biological system modeling; Data mining; Feature extraction; Fuses; Fuzzy systems; Heuristic algorithms; Humans; Merchandise; Robustness; Video surveillance; Kalman filter; Non-symmetric ? membership function (NSMF); Tracking silhouette; abnormality deportment analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3735-1
Type :
conf
DOI :
10.1109/FSKD.2009.575
Filename :
5359026
Link To Document :
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