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| Visual Target Tracking Based on the Adaptive Particle Filter in the Complex Situation |
| Yao Hong-ge; Qi Hua;Hao Chong-yang |
| School of Electronic and Information, Northwestern Polytechnical University, Xi’an 710072, China |
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Abstract This paper presents an adaptive particle filtering algorithm for image tracking based on weighted color probability contribution. First, a weighted color contribution graph is proposed. Taking use of the graph, similarity between target template and particles area is calculated, that makes the target located more reasonable and efficient. During the filtering, aiming at particles degeneration, a resampling method is proposed, forming adaptive adjustment to sampled particle-set. This promotes quality of particle and reduces its quantity while cost of calculation is reduced greatly. Experiment result shows, for some complex tracking conditions such as overall occultation and object tracking with fast moving and great maneuverability, the proposed algorithm has a better robust.
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Received: 03 August 2007
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2009, Vol. 31 
