Method for automatically updating background in specifically monitored video

Abstract

The invention relates to a method for automatically updating a background in a specifically monitored video, which is used for accurately updating the changes in real time during outdoor monitoring, such as the illumination changes, the height changes of a building projection along with the sun and the shakings of tree leaves blown by wind. The method comprises the following steps of: 1) if a difference image has no changing region and then no moving target appears, ending a judgment; 2) if the changing region exists, un-determining reasons, storing a frame, acquiring the next frame, and continuously judging whether the difference image has the changing region or not, namely (1) if the changing region does not exist, considering the former change is an instantaneous light ray change, and making no response, and (2) if the changing region exists, storing the frame and reading the next frame; 3) processing the current frame in the same way, if the changing region exists, storing the current frame; 4) performing three-frame difference on the continuous three frames, if the changing region exists, considering that a target enters, otherwise, considering other reasons and making no response; and 5) selecting the latest frame to replace the original background.

Description

technical field [0001] The invention relates to a background update technology in a specific surveillance video, which belongs to the technical field of video surveillance image processing. Background technique [0002] In the computer vision system, the detection and segmentation of moving objects is a very important problem, which is used in many aspects such as video surveillance, traffic monitoring, and image compression. The detection, tracking and counting of moving targets in video surveillance involves the research fields of signal, video processing, computer vision and other disciplines. The process of detecting and tracking a moving target is a process of detecting, matching and tracking images. [0003] When performing motion detection, a common situation is that the camera is in a static state and the focal length of the lens is fixed. At this time, the background area in the image is fixed. [0004] In this case, there are usually 4 methods for motion detection...

AI Technical Summary

Problems solved by technology

Kornprobst P, Deriche R, Aubert G proposed a background reconstruction and motion segmentation algorithm based on partial differential equations (Partial Differential Equations, referred to as PDE) based on the assumption that the background is always the most frequently observed in the image sequence, but The calculation of the algorithm is complex and the parameters involved are difficult to set

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