Design and implementation of a moving object tracking system
Enzeng Dong, Shengxu Yan, Jigang Tong, Kui Xiang Wei · 2015
By combining the classic object detection and tracking algorithms, this paper proposed an automatic detection and tracking algorithm on moving object. The Gaussian mixture model (GMM) is applied to detect object, and the fusion algorithm of Kalman filter and Camshift algorithm is utilized to track object. The Pan/Tile/Zoom (PTZ) control algorithm is used to adjust the PTZ Camera parameters, such as camera rotate and Zoom, which can make the object to locate in the centre of field. The effective of algorithm proposed was verified by hardware experiment platform. The experiment results show that the system designed can automatically detect and track moving object, overcoming the limit of camera view and expanding the scope of tracking to camera. Real-time and accuracy of the system has also been validated.