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  2006, Vol. 19 Issue (6): 787-793    DOI:
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Target Tracking Based on Mean Shift Algorithm and Particle Filtering Algorithm
MA Li, CHANG FaLiang, QIAO YiZheng
School of Control Science and Engineering, Shandong University, Jinan 250061

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Abstract  Having been improved, the mean shift algorithm and the particle filtering algorithm are combined effectively. Under the nonocclusion and the occlusion that is not serious the improved mean shift algorithm is adopted while under the serious occlusion the improved particle filtering algorithm is employed. Whether the real tracking is resumed is checked after occlusion. Effective occlusion detection method based on subblock is proposed and the color template is not updated under occlusion. Experimental results indicate the proposed algorithm is realtime and robust and has good tracking performance under complex background.
Key wordsTarget Tracking      Mean Shift      Particle Filtering Algorithm      Occlusion     
Received: 08 October 2005     
ZTFLH: TP391  
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MA Li
CHANG FaLiang
QIAO YiZheng
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MA Li,CHANG FaLiang,QIAO YiZheng. Target Tracking Based on Mean Shift Algorithm and Particle Filtering Algorithm[J]. , 2006, 19(6): 787-793.
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