Title :
A Multi-object Motion-tracking Method for Video Surveillance
Author :
Dan, Jiang ; Yuan, Yu
Author_Institution :
Beihang Univ., Beijing
fDate :
July 30 2007-Aug. 1 2007
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;
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
DOI :
10.1109/SNPD.2007.17
