A Tracking Model with Occlusion Handling Based on Information Fusion

For object tracking with occlusion in video application, in this paper, an information fusion tracking model based on level set method is proposed. There are two components. One is an object tracking model with information fusion, which utilize multiple information to achieve moving object segmenting task. The other component is occlusion handling with information fusion. During occlusion occurs this component can located moving objects accurately because of employing objects moving features.

[1]  Tao Zhang,et al.  Improving performance of distribution tracking through background mismatch , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[2]  Tao Zhang,et al.  Active contours for tracking distributions , 2004, IEEE Transactions on Image Processing.

[3]  Jean Gao Self-occlusion immune video tracking of objects in cluttered environments , 2003, Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance, 2003..

[4]  A. Murat Tekalp,et al.  Video object tracking with feedback of performance measures , 2003, IEEE Trans. Circuits Syst. Video Technol..

[5]  Tony F. Chan,et al.  Active contours without edges , 2001, IEEE Trans. Image Process..

[6]  Tieniu Tan,et al.  A survey on visual surveillance of object motion and behaviors , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[7]  D. Mumford,et al.  Optimal approximations by piecewise smooth functions and associated variational problems , 1989 .

[8]  I. Pitas,et al.  Entropy-based metrics for the analysis of partial and total occlusion in video object tracking , 2004 .