Abstract
In this paper, we propose an improved fuzzy enhancement algorithm for the moving object detection and tracking. A new membership function is proposed based on the theory of fuzzy sets, which improves the traditional Pal-King fuzzy enhancement algorithm and overcomes the loss of gray information after the processing of enhancement. Since a gray image with multiple targets need more than one crossover point (threshold) for image segmentation, a method for multi-threshold segmentation based on Otsu algorithm is proposed. This method can get multiple thresholds of the image accurately in a short time. After the processing of fuzzy enhancement the moving object is detected and tracked according to the image centroid. Experimental results show that the proposed algorithm can achieve moving object detection and tracking accurately and quickly.
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