Local Features for Occlusion in Object Tracking
Guo Xiao-li · Computer Engineering and Science · 2012
To solve the occlusion problem of object tracking in videos,a local shape feature is proposed to estimate the occlusion state.In this correlate matching algorithm,the methods combine the local features which are not occluded and the motion predictions to calculate the object portion.In this way,the influence brought by the occluded is avoided.The experimental results show that the algorithm is robust to solving the occlusion problem,and the occluded state judged by the proposed local shape feature is correct.