Object tracking using an adaptive Kalman filter combined with mean shift

Author:

Li Xiaohe

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Engineering,Atomic and Molecular Physics, and Optics

Reference5 articles.

1. Kernel-based object tracking

2. D. Comaniciu and V. Ramesh , “Mean shift and optimal prediction for efficient object tracking,”Proc. IEEE Intl. Conf. Image Process., pp. 70–73 (2000).

3. Hybrid real-time tracking of non-rigid objects under occlusions

4. Robust tracking with motion estimation and local Kernel-based color modeling

5. G. Welch and G. Bishop , “An introduction to the Kalman filter, SIGGRAPH 2001 course 8 in computer graphics,”Annual Conf. on Computer Graphics and Interactive Techniques, ACM Press, Addison-Wesley, Los Angeles, CA (August 12–17, 2001), SIGGRAPH 2001 course pack edition, 2001, http://www.cs.unc.edu/~welch/publications.html and http://helios.siggraph/org/s2001/conference/courses/index.html.

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