Video inpainting model for camera motion based on improved background subtraction method
Sun Xiaoming, Xiaoyang Yu, Shuchun Yu, Guan Yanxia, Xiaoliang Meng, Yang Yu, Yanan Liu · 2013
Motion object detection has been widely used in traffic monitoring and target tracking fields. In order to solve the difficulty of building a model of the background and improving the accuracy of the update rate in the background subtraction, a new detection moving object method combining the surf algorithm and the background subtraction is proposed in this paper. Firstly, according to the continuity of motion, motion regions are labeled and filled in; Secondly, the image mosaic by surf algorithm is conducted to obtain the image with the whole background, then the whole background image mosaic is used to obtain the frame image with the whole background; Finally, frame difference method is used to obtain the foreground object, and then a morphology is processed. The experiment has not only achieved higher accuracy which is improved by about 8%~10%, but also got lower error which is reduced by 3.5%~4.0%. In a word, the algorithm has better robustness.