Object Tracking Based on Visual Attention Model and Particle Filter
نویسندگان
چکیده
An object tracking method based on visual attention model and particle filter is presented. An improved visual attention model is employed to measure the similarity between tracked objects and candidate objects. Gaussian weighted color, intensity, orientation and motion saliency map are calculated with strategy to compose the attention value, which can be used to measure the similarity of the objects. This similarity measurement is more accurate than others used in object tracking algorithms. Experimental results show that both single object and multiple-objects could be tracked efficiently. Keyword: visual attention model, particle filter, object tracking.
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