A High-Precision Optical Flow Method Based on TV-L1 Model and Neighborhood Patch

There is usually occlusion area in moving object video images, which results in serious distortion of the extracted optical flow information. On the foundation of the comparative analysis of motion characteristics of traditional movement feature extraction methods, the crowd motion feature extraction algorithm based on TV-L1 model is proposed, using the optical flow information and occlusion neighborhood adjacent frame optical flow information, the occluded areas of missing information are repaired through two-way repair method. Experimental results show that the algorithm proposed in this paper can solve the problem of incomplete optical flow information in the occluded area. Compared with the traditional algorithm, this algorithm has better noise immunity and robustness.