A video vehicle detecting and segmenting approach is introduced based on the Mean Shift method.First,it eliminates the disturbance from unrelated background by AND operation between a traffic image and the binary mask of road area,and then it segments the result image by Mean Shift clustering method to obtain the original segmented image.The road area can then be filtered out according to the features such as area,distribution of the segmented regions,uniformity and similarity of region colors,and so on.Further,based on dissimilarity measurement of the color,the region of road area is set to be "white" and all the other regions "black" to obtain the binary image.Finally,both static and moving vehicles can be detected by certain post-processing steps.Validity of the method is proved by the experimental result given at the end.