A shadow elimination method based on color and texture

In video surveillance system, it is a key factor that extracting moving objects accurately to obtain better monitoring effect. The shadows followed with moving objects may change the object shapes or distort the object. Therefore, it become difficult to extract moving objects accurately. In this paper, According to optical characteristics of shadow, a shadow elimination method based on HSV color space and texture local cross-entropy is proposed. Experiments show that our method is efficient in detecting and eliminating shadows.