Camera movement detection system in monitoring system and method

Abstract

The invention discloses a camera movement detection system in a monitoring system and a method, and the system comprises an image segmenting module, a feature extracting module, a feather point matching module, a motion vector filtering module, a background segmenting module and a movement judging module, wherein the image segmenting module is used for segmenting images of a reference frame and asubsequent frame; the feature extracting module is used for extracting the features of the images of the reference frame and the subsequent frame; the feature point matching module is used for searching out the matching point corresponding to the candidate feather point in each small area of the subsequent frame from the reference frame; the motion vector filtering module is used for filtering out the feature points which are in mistaken matching in the a motion vector field; the background segmenting module is used for separating out the background images and accumulating the static accumulation times of each small area in the background images; and the movement judging module is used for marking each feature point based on the area positions, accumulating the feature points of which themotion vector is zero, and judging whether a camera moves or not. By the system and method in the invention, the slow movement of a camera in a monitoring system can be detected.

Description

technical field [0001] The invention belongs to the technical field of video monitoring, and relates to a monitoring system, in particular to a camera movement detection system in the monitoring system; meanwhile, the invention also relates to a camera movement detection method in the monitoring system. Background technique [0002] With the continuous increase of the monitoring system network, the number of cameras deployed in the network continues to increase. For example, in the urban traffic monitoring system, the number of monitoring points can range from tens of thousands to hundreds of thousands. There are more and more cameras in the monitoring system, and it is impossible to arrange enough security personnel to check the working status of each camera. Many cameras cannot work normally due to long-term unmaintained, such as interference, virtual focus, occlusion, etc., resulting in the inability to monitor. Checking the working status of the camera in real time requ...

AI Technical Summary

Problems solved by technology

Although the method used in this invention is to track the variation range of pixel values ​​in the image to judge whether there is movement, the basis of its detection method is still based on whether the pixel intensity value changes at the same position between two images, but the invention uses The Gaussian statistical model establishes a statistical authority range for each pixel, and changes within a certain range are still regarded as the background. Therefore, although this invention can partially suppress the influence of noise and illumination, it is more sensitive to light changes, especially when the ambient light changes. When it is too fast, such as lightning, changes in sunlight, car lights, street lights, etc., will affect the performance of its algorithm and cause misjudgment

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