Method and system for abnormal target detection and relay tracking under large-range monitoring scene

Abstract

The invention relates to a method and a system for abnormal target detection and relay tracking under a large-range monitoring scene. The system comprises a target detection module, a target identification and tracking control module and an active tracking module, wherein the target detection module is used for carrying out Gaussian background modeling by utilizing a sub-sampled image to obtain aforeground image, computing the coordinate of a target in a digital map and then sending coordinate information to the target identification and tracking control module; the target identification andtracking control module is used for finishing the target tracking, the track recording and the abnormal behavior detection of the target, and if abnormal behavior occurs, a proper pan-tilt video camera is selected according to the coordinate information of the target, and an alarm signal is sent to the active tracking module; and the active tracking module is used for receiving the alarm information of the target identification and tracking control module, controlling the pan-tilt video camera to carry out preset position steering according to the content of the alarm information and then carrying out the detection and the tracking of the moving target. The invention solves the integration problem of multiple paths of image target information under the large-range monitoring scene and realizes the accurate and robust relay tracking of the same target.

Description

technical field [0001] The invention relates to pattern recognition, in particular to a method and system for abnormal target detection and relay tracking in a large-scale monitoring scene. Background technique [0002] With the rapid development of computer technology and digital electronic technology, visual monitoring technology has been more and more widely used. Traditional visual surveillance systems can only provide video capture and storage functions, requiring monitoring personnel to watch the display in the monitoring room to find abnormalities, which not only increases the cost of monitoring, but also causes visual fatigue caused by long-term viewing of the display. The vigilance of the system is reduced, so that the monitoring system cannot play its due role at some critical moments. At present, intelligent visual surveillance technology is on the rise, and is getting more and more attention from the media. Intelligent visual monitoring technology is to let the...

AI Technical Summary

Problems solved by technology

However, the field of view of a single camera monitoring is limited, and it is impossible to monitor a wide range of scenes; if multiple cameras are used for monitoring, there will be the following problems: 1) the same abnormal behavior appears in the common field of view of two cameras, thus appearing to the same Two alarms for abnormal behavior; 2) The same target appears in the two camera images a and b in sequence. It may be that the target has abnormal behavior in camera a, but does not have abnormal behavior in camera b, so a appears The camera alarms, but the target moves to the b-camera monitoring area but behaves as a normal target; 3) For most abnormal behavior analysis methods based on the target motion trajectory, the abnormal behavior in the edge area of ​​​​the image cannot be detected

Since almost all relay tracking methods involve target matching, it is necessary to extract the color, texture, point line and other features of the target, which have high requirements on image quality and application scenarios, and are not suitable for outdoor large-scale target relay tracking.

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