Research on Stratified Re-Sampling Particle Filter Target Tracking Algorithm Based on Multiple Clues

Abstract:

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To further improve the performance of video object tracking and overcome the instability brought by using a single measurement source, a new particle filter algorithm was proposed which combined the color with contour information. The methord used color likelihood model to predict object, geometric active contour model to update the particle, and Stratified Re-sampling method to overcome the particle degradation. Experimental results show that the proposed algorithm is more robust than the traditional algorithm based on a single clue in occlusion, even though the color of the object is very similar to the background, it still tracks the target accurately.

Info:

Periodical:

Key Engineering Materials (Volumes 474-476)

Edited by:

Garry Zhu

Pages:

386-391

DOI:

10.4028/www.scientific.net/KEM.474-476.386

Citation:

J. Cao and Q. H. Zeng, "Research on Stratified Re-Sampling Particle Filter Target Tracking Algorithm Based on Multiple Clues", Key Engineering Materials, Vols. 474-476, pp. 386-391, 2011

Online since:

April 2011

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Price:

$35.00

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