2007 IEEE International Conference on Image Processing - San Antonio, Texas, U.S.A. - September 16-19, 2007

Technical Program

Paper Detail

Paper:WA-L2.5
Session:Video Object Segmentation and Tracking II
Time:Wednesday, September 19, 11:30 - 11:50
Presentation: Lecture
Title: ROBUST OBJECT TRACKING USING LOCAL KERNELS AND BACKGROUND INFORMATION
Authors: Jaideep Jeyakar; Indian Institute of Science 
 Venkatesh Babu Radhakrishnan; Indian Institute of Science 
 Ramakrishnan K. R.; Indian Institute of Science 
Abstract: The mean shift algorithm has been proved to be efficient for tracking 2D blobs through a video sequence. Even so, this algorithm has certain inherent disadvantages. In this paper, we propose a robust tracking algorithm which overcomes the drawbacks of global color histogram based tracking. We incorporate tracking based only on reliable colors by separating the object from its background. A fast yet robust model updation is employed to overcome illumination changes. This algorithm is computationally simple enough to be executed real time and was tested on several complex video sequences. The proposed technique could be easily extended to other tracking algorithms too.



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