Research on Improvement of Background Modeling and Detection Method Based on Frame Difference

Abstract

In order to improve the phenomena such as false edge and void in static background detection of frame difference method and the problems of slow background update and poor adaptability in background difference method, an improved research method based on frame difference background modeling detection method is proposed in this paper. The method first obtains two frame difference images by four frame difference method, carries on the closed operation, and respectively adds with the original image, after adding the two images to carry on the pixel value comparison and the choice, can get the background image. The experimental results show that the algorithm can effectively avoid the appearance of ghost, void and shadow, and adapt to the environment better. Compared with the traditional methods, the algorithm has better real-time performance and higher accuracy.