OBJECT TRACKING BASED ON TIME-VARYING SALIENCY

Visual attention has been widely used in image pre-processing, since it can rapidly detect the region of interest in the given scene. This paper presents a novel technique to track the moving object, which is based on the motion saliency model. The salient region is computed by the combination of multi-feature maps and motion saliency map, which vastly reduce the amount of information in further image processing. Next, a single matching method, normalized color histogram, is used to measure the similarity for tracking processing. Experimental results, found in AVSS 07, are reported, which validate our model useful and effective. * Corresponding author. Tao Fang. E-mail: tfang@sjtu.edu.cn; phone:+86-021-34204758

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