On the moving object detection there is a new method which unites the temporal and spatial segmentation. Simultaneously this paper also proposal an automatic video object segmentation using the active contour module. The temporal segmentation adopts the reformative difference frame and phase correlation method, and the spatial segmentation uses the active contour module. This algorithm proposal a new viewpoint that only the external boundaries are the stable feather which must be extracted form the difference frame. This makes the algorithm achieve a high robust. And the same time temporal segmentation gives the active contour module an initialization of the edge points. Then the algorithm will refine the edge points through the energy equation iteratively. Though the simulation, this algorithm can get perfect result.
This paper proposes a novel algorithm for automatically and quickly extracting the external edge of the moving object. The algorithm uses both spatial and temporal information, which is abundant in image sequences and has not usually been efficiently used in conventional algorithm. Especially most attention of this algorithm is paid for the moving object external-edges. This orientation is designed to deal with the overlap of moving objects in successive frames. After the temporal segmentation the external edge of moving object is detected. Differing from current algorithms the fusing way of the temporal and spatial information has been progressed. Here the algorithm only uses spatial information of the temporal external edge to refine the edge points for getting the accurate boundary. This method will greatly decrease the compute and achieve the fast process in the real-time system. Though the simulation, this algorithm can get perfect result.