For the accuracy and robustness of the motion occlusion detecting from image sequence

this paper proposes a novel occlusion detection method based on the optical flow and Delaunay triangulation. Firstly

a TV-

L

1

optical flow model based on the non-local constraint is presented. Secondly

according to the results of the Delaunay triangulation and optical flow result of image sequence

the occlusion of the corresponding pixels and local triangles between the continuous frames is located and the motion occlusion regions could be detected. Finally

the evaluation sequences of the MPI Sintel and Middlebury databases are

employed to test the performance of the motion occlusion detecting between the proposed method

the SMOD and GOSF methods. The experimental results show that the average omission rate and average false rate of the proposed method on the ten test image sequences are reducing 15.21% and 30.57% compared to the SMOD and GOSF methods

which indicates the proposed method has the higher accuracy and better robustness of the motion occlusion detecting under the non-rigid motion

complex scene

weak texture

brightness shadow and large displacement.