An all-weather intelligent video analysis monitoring method based on a rule

Abstract

The invention discloses an all-weather intelligent video analysis monitoring method based on a regulation, which can be used in the intelligent video analysis surveillance method based on a regulation for the indoors, outdoor paths and the outdoors, and the steps includes: carrying out background segmentation with an image sequence acquired by a camera so as to obtain accurate foreground, carrying out object detection with the obtained foreground so as to obtain the object to be monitored, tracking the detected object so as to obtain the trajectory of the object, then carrying out trajectory analysis with the obtained trajectory, meantime carrying out object identification with the detected object so as to obtain the type of the object, then carrying out judgment with the obtained trajectory analysis result and the type of the object according to a preset alarming regulation composed of object type, object action, time and location and a compound regulation composed by simple regulations, so as to obtain the results of whether it alarms or not and alarming in which type.

Description

technical field [0001] The invention relates to a monitoring method for automatic alarming of abnormal conditions, in particular to a monitoring method capable of setting alarm objects and adjusting alarm sensitivity by performing rule-based intelligent analysis on videos collected by cameras under all-weather conditions. Background technique [0002] With the rapid development of modern technology, the use of cameras to monitor dynamic scenes has long been widely used in all aspects of modern society, especially those sensitive to security requirements, such as national defense, communities, banks, parking lots, military bases, along cables, etc. . Visual monitoring of dynamic scenes is a frontier research direction that has attracted much attention in recent years. It detects, recognizes, tracks targets and understands their behavior from image sequences captured by cameras. Although the surveillance camera, which is an extension of human vision, has been widely used in c...

AI Technical Summary

Problems solved by technology

[0006] In order to overcome the shortcomings that the existing video monitoring system cannot effectively monitor the target scene around the clock and cannot be effectively applied to complex scenes such as the field, the purpose of the present invention is to monitor not only the usual indoor and outdoor road scenes under all-weather conditions , and can be applied to monitoring in field scenes. Therefore, a rule-based all-weather intelligent video analysis and monitoring method is provided

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