Moving Object Detection Based on Background Extraction

TLDR: Improved method of obtaining background image based on common region is cited, and the introduction of the smoothing coefficient can avoid the mutation of current threshold.

Abstract: Moving object detection is a very important research topic of computer vision and video processing areas. The process of moving object detection based on the background extraction is divided into two steps, background extraction and moving object detection. Improved method of obtaining background image based on common region is cited. The basic idea is to capture a series of video pictures of the scene at regular intervals, the picture is divided into of m*m blocks which expectation and variance are calculated respectively to describe the vector information of the region. A new acquiring threshold method is brought forward when extracting the moving object. The arithmetic mean of original iterative method is replaced by weighted mean and the average gray of the foreground is higher than the average gray of background. Then, the threshold is also increased to some extent. The introduction of the smoothing coefficient can avoid the mutation of current threshold. The experiments show that the scheme can realize the moving object detection effectively, and it has high definition.