一种基于颜色特征的运动对象分割方法

Moving Object Segmentation Method Based on Color Feature

提出了一种基于RGB颜色空间和高斯-拉普拉斯算子对运动对象的阴影检测及消除、利用互帧差的高阶统计特性和数学形态学算子进行运动对象分割的方法。实验结果表明该方法能有效克服阴影的影响，从而实现运动对象的分割。

Start from the basic color theory and the principle of Gauss-Laplace operator, a moving object segmentation scheme based on color feature for shadows detecting, higher-order statistics (HOS) of displaced frame difference (DFD) and mathematical morphological operators is studied in this paper. Experimental results indicate that the proposed method is efficient for moving object segmentation.