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| Target Tracking Based on Mean Shift Algorithm and Particle Filtering Algorithm |
| MA Li, CHANG FaLiang, QIAO YiZheng |
| 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 nonocclusion 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 subblock is proposed and the color template is not updated under occlusion. Experimental results indicate the proposed algorithm is realtime and robust and has good tracking performance under complex background.
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Received: 08 October 2005
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2006, Vol. 19 
