The paper proposes a segmentation and tracking method based on adaptively weighted Markov random field (MRF).By using spatial relativity of the adjacent pixel regions

this method adaptively updates the system energy function parameter β

and makes object segmentation more accurate. On this condition

the fragments-based integral histogram feature template is established. And Kalman prediction method is combined with object motion information to improve the algorithm’s accuracy and implement matching and tracking. Experiment results proved that this algorithm can accurately settle with the problem of objects segmentation and tracking problem under the case of partial shelter

and illumination change.