Monitoring method, device and system as well as monitoring equipment

Abstract

The embodiment of the invention discloses a monitoring method, device and system as well as monitoring equipment. The method is applied to second monitoring equipment in the monitoring system. The monitoring system further comprises first monitoring equipment. The method comprises the following steps: acquiring first position information transmitted by the first monitoring equipment, wherein the first position information is position information corresponding to a first target in a scene, and the first target is a target which is recognized by the first monitoring equipment and triggers a first exception rule; performing zoom-in monitoring on the first target according to the first position information; acquiring an auxiliary image including the first target, wherein the auxiliary image isan image acquired when the second monitoring equipment performs zoom-in monitoring on the first target; and judging whether the first target in the auxiliary image triggers a second exception rule ornot, and if so, determining the first target as an exceptional target. Through the technical scheme provided by the embodiment of the invention, the target included in the auxiliary image acquired bythe second monitoring equipment has relatively abundant detailed information, so that the recognition accuracy of the exceptional target can be improved.

Description

technical field [0001] The invention relates to the technical field of video monitoring, in particular to a monitoring method, device, system and monitoring equipment. Background technique [0002] With the continuous progress of society, the scope of application of monitoring is becoming wider and wider. For example, monitoring can be applied to public places such as streets and shopping malls, so that users can find out abnormal events or abnormal targets in public places in time. [0003] In order to identify abnormal targets, the monitoring method in the prior art includes: a monitoring device collects a scene image of a scene, identifies a target in the scene image that triggers an abnormal rule, determines the identified target as an abnormal target, and sends an alarm message, the The alarm information is used to notify the user that there is an abnormal target in the scene. [0004] However, since the scene image collected by the monitoring equipment contains many o...

AI Technical Summary

Problems solved by technology

[0004] However, since the scene image collected by the monitoring equipment contains many targets, the detailed information of some targets contained in the scene image is not rich enough, which undoubtedly leads to a low accuracy rate of identified abnormal targets

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