DocumentCode
3223084
Title
A Multi-object Motion-tracking Method for Video Surveillance
Author
Dan, Jiang ; Yuan, Yu
Author_Institution
Beihang Univ., Beijing
Volume
1
fYear
2007
fDate
July 30 2007-Aug. 1 2007
Firstpage
402
Lastpage
405
Abstract
In this paper, a multi-object motion-tracking method based both on region and feature tracking is proposed for the purpose of real-time tracking in video surveillance system. Moving object is detected through foreground detection. Then we extract three features of each moving objects such as centroid, area, and average luminance. At last, the similarity function is applied to tracking. It is proved that the method has good performance under dynamic circumstances for real-time tracking.
Keywords
object detection; real-time systems; tracking; video surveillance; multiobject motion-tracking method; object detection; real-time tracking; video surveillance; Artificial intelligence; Cameras; Distortion measurement; Feature extraction; Monitoring; Object detection; Software engineering; Tracking; Video sequences; Video surveillance; Foreground Detection similarity function; Motion Tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2007. SNPD 2007. Eighth ACIS International Conference on
Conference_Location
Qingdao
Print_ISBN
978-0-7695-2909-7
Type
conf
DOI
10.1109/SNPD.2007.17
Filename
4287540
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