Research on Moving Object Detection and Matching Technology in Multi-Angle Monitoring Video

Abstract

Prospect detection, extraction and tracking matching of moving objects in surveillance video has always been an important research content in the field of computer vision. It has important practical value in intelligent traffic supervision, video security monitoring, navigation and other aspects. In this paper, the detection and extraction of the same foreground moving object and the matching label in multi-view surveillance videos are studied. A multi-view foreground matching model based on HOG detection and system clustering is established by using background subtraction method, HOG feature detection and least squares of deviations in system clustering. The feature matching of the same foreground object is carried out, thus realizing different foreground objects. Recognition and matching of the same foreground object in multi-angle video. The experimental results show that the model can detect, extract and match foreground moving objects effectively by simultaneously shooting multiple surveillance videos from different angles near the same location.