Color moving object detection method based on automatic color clustering
Jing Li, Junzheng Wang, Jiali Mao · 2014
Moving object detection is usually used in gray image, and the color image should be converted to gray images to achieve detection. However, the color object can't be described by simple gray information completely. In order to achieve automatic color moving object detection, the method based on automatic color clustering is especially proposed. Because the difference between adjacent pixels in an image is very small, the initial cluster center can be moved in the maximum distance. The proposed method can reduce the number of iterations and quicken convergence speed, meanwhile determine the number of color cluster and the location of the color object automatically. The proposed algorithm is validated in the actual system, experimental results show that the proposed method can automatically achieve color clustering for color image, while detect color objects.