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
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;
Conference_Titel :
Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
Conference_Location :
XianNing
Print_ISBN :
978-1-61284-458-9
DOI :
10.1109/CECNET.2011.5769081