A novel method of object modeling for visual tracking based on local features and probabilistic graphical model is proposed.The tracked object is represented using a collection of regional affine invariant features,among which the spatial constraints are described by a probabilistic graphical model.During tracking,belief propagation algorithm is first applied to infer the state of each feature in spatial domain.Then,the inferred results are employed to construct the proposal sampling function,by which a par...