Method for distinguishing monitoring camera abnormal situation through video signal

Abstract

The invention discloses a method for distinguishing a monitoring camera abnormal situation through a video signal. The method includes the following steps of (1) image comparison, wherein two frames of images in a monitoring video at a set time interval are compared through a computer image visual analysis technology and (2) abnormal situation determination, wherein when the difference of the two frames of images is larger than the set value, the abnormal situation is determined. The method for distinguishing the monitoring camera abnormal situation through the video signal aims to solve the problem that a camera is manually blocked or moved, or the signal is lost due to line fault, through a computer video analysis technology, abnormal behaviors are automatically distinguished, and a real-time alarm is given out, and the administrative staff is reminded to deal with the abnormal behaviors timely. By means of the method, the dependence on personnel of the video monitoring work can be lowered, the situation that the abnormal behaviors are not found out timely due to personnel fatigue is avoided, and thus the quality of the video monitoring work is improved.

Description

technical field [0001] The invention relates to the technical field of video processing, in particular to a method for judging abnormal conditions of a surveillance camera by using video signals. Background technique [0002] When watching surveillance video manually, it often causes visual fatigue due to too long time. At this time, if the camera is artificially blocked or moved, or the signal is lost due to line failure, it is often not discovered by the surveillance personnel in time, thus affecting the video. Monitor the quality of work carried out. [0003] So far, there is no public information to provide effective technical solutions for the above problems. [0004] In view of the above problems, the present invention provides a method for judging the abnormality of the monitoring camera by using the video signal, and the method can detect abnormalities such as camera movement, occlusion, and signal interruption in time. Contents of the invention [0005] In view ...

AI Technical Summary

Problems solved by technology

[0002] When watching surveillance video manually, it often causes visual fatigue due to too long time. At this time, if the camera is artificially blocked or moved, or the signal is lost due to line failure, it is often not discovered by the surveillance personnel in time, thus affecting the video. Monitor the quality of work carried out

[0003] As of now, there is no public information to provide effective technical solutions for the above problems

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