An abnormal event detection method and device based on a fixed-position camera monitoring video

Abstract

The invention discloses an abnormal event detection method based on a fixed-position camera monitoring video, and the method comprises the steps: A, obtaining a frame of image shot by a camera under the normal condition, calibrating an invariant region, and enabling the image of the invariant region to serve as an initial reference image; B, acquiring a real-time image shot by the camera after a preset sampling interval time, and extracting an image of an invariant region of the real-time image as a judgment image according to the invariant region; C, comparing the similarity between the judgment image and the reference image, if the similarity is within a preset normal similarity range, replacing the current reference image with the judgment image, and then turning to the step B; Otherwise, judging that an abnormal event occurs. The invention further discloses an abnormal event detection device based on the monitoring video of the fixed-position camera. According to the invention, themethod can achieve the accurate and automatic recognition of the interference of the camera and the abnormity in a monitoring scene, is better in accuracy and real-time performance, and is low in software and hardware requirements.

Description

technical field [0001] The invention relates to video image processing technology, in particular to an abnormal event detection method based on fixed camera monitoring video. Background technique [0002] With the rapid development and wide application of video surveillance technology, more and more cameras with fixed positions are used in many application scenarios such as security monitoring, road traffic monitoring, production line monitoring, farmland water conservancy facility monitoring, animal and plant habitat protection, etc. . Traditionally, manual inspection and manual judgment have always been important means of maintaining video surveillance cameras and video screen monitoring. [0003] On the one hand, there are often situations where the camera is interfered due to natural or man-made reasons, such as the camera being rotated or blocked, the camera lens being dirty, etc., resulting in partial or complete failure of the video surveillance; on the other hand, m...

AI Technical Summary

Problems solved by technology

There have been many such technologies, and the most commonly used one is to detect abnormal events by simply comparing the current video image with a fixed reference image. Affect the judgment of the results, so the detection effect of this technology is generally difficult to meet the requirements

There are also some existing technologies that use extremely complex detection algorithms in order to improve detection accuracy. The required software and hardware conditions cannot meet most practical applications, and real-time performance cannot be guaranteed.

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