DocumentCode
492538
Title
An Approach to Event Recognition for Visual Surveillance Systems
Author
Cui, Yaohuan ; Lee, Changwoo
Author_Institution
Kunsan Int. Univ., Kunsan
Volume
3
fYear
2008
fDate
13-15 Dec. 2008
Firstpage
226
Lastpage
229
Abstract
In this paper, we propose a new vision based method to recognize the entering and exiting events from video sequences via motion analysis. Without sensors, the proposed approach is invariant to body shape and clothing as a combination of edge detection, motion history image and geometrical characteristic of the human shape in MHI sequences. The proposed method includes several applications such as access control in visual surveillance and computer vision fields.
Keywords
computer vision; edge detection; image motion analysis; image sequences; video surveillance; MHI sequences; edge detection; event recognition; geometrical characteristic; human shape; motion analysis; video sequence; visual surveillance system; Clothing; History; Humans; Image edge detection; Image sensors; Motion analysis; Sensor phenomena and characterization; Shape; Surveillance; Video sequences;
fLanguage
English
Publisher
ieee
Conference_Titel
Future Generation Communication and Networking Symposia, 2008. FGCNS '08. Second International Conference on
Conference_Location
Sanya
Print_ISBN
978-1-4244-3430-5
Electronic_ISBN
978-0-7695-3546-3
Type
conf
DOI
10.1109/FGCNS.2008.36
Filename
4813585
Link To Document