Abstract: Snakes model ,with an open and uniform framework, is an elegant tool for image segmentation The active contour can converge dynamically to the boundary of the moving object in a sequential image by constructing an external force properly At present, many modified snakes models are presented for sequential image segmentation, but they have some deficiencies such as high computational complexity, requiring prior knowledge, being limited by the precision of optical flow field and so on The Snakes model presented overcomes these shortcomings, and can segment sequential images effectively The information of edge is vitally important for image segmentation, so it is the foundation of constructing external force In the mean time, the kinetic information, obtained by motion estimation, is incorporated into sequential image segmentation, and therefore, the novel Snakes model is applicable for the sequential image with complex background Furthermore, an edge first block based motion estimation is proposed according to its role in the block motion vector weighted Snakes model, which reduces the computational load evidently Finally, the promising experimental results are provided to illustrate the validity of the block motion vector weighted snakes model for sequential image segmentation