Abstract: According to the disadvantages of the moving detection methods which were used commouly, the moving object detection method of combination of geodesics active contour model and background subtraction based on the principle of level set proposed. The level set function is used in the improved method without re-initialization, the number of iteration in the curve evolution and the execution time are significantly reduced, the exact moving object contour is obtained. Through comparison with the particle filtering and mean shift tracking methods, finally the highest efficiency and optimal Kalman filtering was used to predict the moving trajectory of objects. Experimental results showed that the method has better detection and tracking effect on the two kinds of rigid and non-rigid objects.