DocumentCode :
480615
Title :
Vision-Based Human Motion Analysis for Event Recognition
Author :
Cui, Yaohuan ; Lee, Chang Woo
Author_Institution :
Coll. of Comput. Inf., Kunsan Nat. Univ., Kunsan
Volume :
2
fYear :
2008
fDate :
20-22 Dec. 2008
Firstpage :
263
Lastpage :
267
Abstract :
Event detection and recognition is an active and challenging topic recent in computer vision. The technique could be applied in many visual surveillance systems. This paper describes a new method of recognizing events from video sequences in an office environment. The proposed approach is the vision based human motion analysis via motion history image (MHI) sequences and is invariant to body shape, clothing and position. Combined with edge detection, geometrical characteristics of the human shape in the MHI sequences are considered as the features. An advantage of the proposed method is that the event detection framework is easy to extend by inserting the descriptions of events.
Keywords :
computer vision; image motion analysis; image recognition; image sequences; video signal processing; computer vision; event detection; event recognition; geometrical characteristics; motion history image sequences; video sequences; vision-based human motion analysis; visual surveillance systems; Clothing; Computer vision; Event detection; History; Humans; Image edge detection; Motion analysis; Shape; Surveillance; Video sequences; event recognition; motion analysis; visual surveillance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3497-8
Type :
conf
DOI :
10.1109/IITA.2008.499
Filename :
4739768
Link To Document :
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