Security protection early-warning system and method based on radar detection and video image behavior analysis

Abstract

The invention provides a security protection early-warning system and method based on radar detection and video image behavior analysis. The method comprises: S1, carrying out pairing and calibrationon a radar detecting device and a cloud platform camera; S2, monitoring whether a moving target exists in a monitoring range in real time by a radar and sending position information of all moving targets to an intrusion event detecting module; S3, determining positions of the moving targets relative to the cloud platform camera; S4, determining an adjustment angle of the cloud platform camera anda needed magnification value; S5, moving the visual field center of the cloud platform camera to the positions of the moving targets and controlling the cloud platform camera to carry out magnification; and S6, acquiring a current image of the cloud platform camera, carrying out a behavior analysis on the moving targets, determining a real intrusion target, and sending out alarm information. The security protection early-warning method has advantages of simple algorithm, fast recognition speed of the intrusion target, high recognition accuracy, and flexible equipment installation position arrangement and the like; the missed detection rate and the false alarm rate are reduced substantially; and the response speed of the system is increased.

Description

technical field [0001] The invention relates to the field of security technologies, in particular to a security early warning system and method based on radar detection and video image behavior analysis. Background technique [0002] In the existing security early warning system, there are many ways to monitor and warn the intrusion behavior in the monitoring area, such as deploying infrared radiation equipment, leaking cables, vibration cables, microwave radiation radar, high-definition video equipment, etc. Cover the surveillance area. When an intrusion event occurs, the above-mentioned device can detect the occurrence of the intrusion event according to the change of its own physical properties, such as infrared rays will be blocked, and the current of the leaking cable will change. The high-definition video equipment can judge the occurrence of intrusion events by analyzing whether there are objects moving in the monitoring area. However, these devices have some defect...

AI Technical Summary

Problems solved by technology

The disadvantages of this method are: (1) the target needs to be preset, which leads to limited use of scenes and effects; (2) the background of the monitoring area needs to be modeled to distinguish moving targets from background targets, that is, when the environment changes , the background needs to be modeled again; (3) this kind of recognition needs to analyze the detailed information of the picture, which makes the picture not clear enough to be recognized, and the recognition effect is extremely poor; when the light condition is not good, such as night, heavy fog, heavy rain, etc., The clarity of the obtained pictures will be poor, which will affect the recognition effect, and then cause the alarm to be untimely, and the rate of false alarms and false alarms will be greatly increas

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