Real-time tracking system combining mixture of Gaussian model and CamShift algorithm

Yuanshuang Li; Qinlan Xie; Gai Yu

doi:10.1117/12.867102

17 August 2010 Real-time tracking system combining mixture of Gaussian model and CamShift algorithm

Yuanshuang Li, Qinlan Xie, Gai Yu

Proceedings Volume 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering; 782002 (2010) https://doi.org/10.1117/12.867102
Event: International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 2010, Xi'an, China

Abstract

In this paper, a system combining mixture of Gaussian background model and CamShift algorithm has been designed to detect and track automatically the moving target. For detecting the moving object, the region which the movement object belongs to is firstly identified and extracted by mixture model of Gaussian, and the centroid of this region is determined as the center of initializing window for tracking. The color feature of object is then extracted in the region, and the CamShift algorithm is used to calculate t he exact location of the target and adjust the size of search window. During the tracking, the information about the objective location is transmitted by serial communication to control the PTZ in order to track the object to ensure it being inside of scene all along. The experiment is performed with high speed spherical camera E588/G3-HP and validates the validity of the system.

Citation Download Citation

Yuanshuang Li, Qinlan Xie, and Gai Yu "Real-time tracking system combining mixture of Gaussian model and CamShift algorithm", Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 782002 (17 August 2010); https://doi.org/10.1117/12.867102

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