An algorithm based on Gibbs random field model for the integration of spatial and temporal segmentation results is proposed in this paper for video object segmentation.The segmentation mask of each frame is modeled as a Gibbs random field.The field is initialized as the temporal segmentation result and the spatial segmentation is provided as an observed field of the image.Finally

the mask is gotten through integrating spatial and temporal segmentation results according to the restriction of Gibbs random field model.Experimental results show that the novel algorithm can avoid the overfull dependence on the accuracy of the spatial segmentation as the usual Ratio Method does.