DocumentCode
3164609
Title
Moving object tracking system based on camshift and Kalman filter
Author
Huang, Shengluan ; Hong, Jingxin
Author_Institution
Comput. Sci. Dept., Xiamen Univ., Xiamen, China
fYear
2011
fDate
16-18 April 2011
Firstpage
1423
Lastpage
1426
Abstract
To accomplish real-time tracking of moving objects requirements, and overcome the defect of occlusion in the process of tracking moving object, this paper presents a set of real-time tracking system. The tracking system uses a combination of camshift and kalman filter algorithm. When the moving object is a large area blocked, the velocity of moving object is applied linear prediction to kalman filter tracking. When the camera moves, we can quickly find the target in this tracking system. The experimental results show that : this system designed for tracking moving targets has good robustness.
Keywords
Kalman filters; image motion analysis; object detection; object tracking; Kalman filter; camshift; linear prediction; moving object tracking system; real-time tracking; Algorithm design and analysis; Cameras; Kalman filters; Prediction algorithms; Robustness; Target tracking; camshift; kalman filter; occlusion; tracking system;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
Conference_Location
XianNing
Print_ISBN
978-1-61284-458-9
Type
conf
DOI
10.1109/CECNET.2011.5769081
Filename
5769081
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