Title :
An Intelligent Tracking Technology Based on Kalman and Mean Shift Algorithm
Author :
Ying-hong, Li ; Yi-gui, Pang ; Zheng-xi, Li ; Ya-li, Liu
Author_Institution :
North China Univ. of Technol., Beijing, China
Abstract :
Target tracking is one of the essential tasks in video-based surveillance system. A novel method which combined Kalman with Mean shift algorithm in moving object tracking is proposed in this paper. In the Mean Shift algorithm, a new adaptive bandwidth and the kernel weights have been adopted, meanwhile the extended Kalman filter has been used in fast moving object track. Experimental results show that the proposed method performs well in video-based target tracking.
Keywords :
Kalman filters; target tracking; video surveillance; Kalman algorithm; adaptive bandwidth; intelligent tracking technology; kernel weights; mean shift algorithm; object tracking; video-based surveillance system; video-based target tracking; Bandwidth; Computational modeling; Computer simulation; Computer vision; Density functional theory; Kalman filters; Kernel; Sampling methods; Surveillance; Target tracking; gradient; mean shift algorithm; target tracking;
Conference_Titel :
Computer Modeling and Simulation, 2010. ICCMS '10. Second International Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-1-4244-5642-0
Electronic_ISBN :
978-1-4244-5643-7
DOI :
10.1109/ICCMS.2010.76
