To solve the problem of unpredictable occlusion by obstacles in environment,a novel tracking algorithm based on local-area feature matching is proposed.Firstly,the target appearance is modeled using a set of elementary observation patches.Then a sampling structure is proposed by combing the features of trajectory and dynamic model.The elementary patches are tracked independently using Markov chain Monte Carlo method based on the new sampling model.The validated feature patches are selected using the coheren...