A method for detecting abnormal movement of a camera and intrusion of foreign objects in a scene

Abstract

The invention discloses a detection method for judging abnormal movement of a camera head and intrusion of foreign objects in a scene, which comprises the following steps: 1, obtaining a series of image sequences of a gun-type camera head; 2, obtaining an edge distribution cumulative probability model by using an image sequence; 3, comparing the edge distribution of the current image and the previous image, and judging whether the camera moves abnormally; 4, when the camera doe not move, comparing the edge distribution of the current image with the cumulative probability model of the edge distribution to judge whether foreign object intrusion exists or not. The method of the invention is simple and easy to implement, greatly reduces the time complexity of the algorithm, and can effectivelyrealize automatic detection functions such as abnormal movement of the camera, foreign object intrusion in the scene and the like.

Description

technical field [0001] The invention relates to a detection method for judging the abnormal movement of a camera and the intrusion of foreign objects in a scene, and belongs to the technical fields of computer vision and safety monitoring. Background technique [0002] At present, there are a large number of bullet cameras in the market. This type of camera has a fixed focal length and can monitor its surrounding environment. Due to the difficulty of power supply, surveillance cameras in borders, oil fields and other places need to be equipped with separate batteries to work. In order to save power and avoid frequent battery replacement, these cameras usually monitor the surrounding environment by taking snapshots, and finally obtain a sequence of images with a certain time interval. [0003] For borders, oil fields and other places, nearby people, vehicles and fires are all foreign object invasion. At present, the common method of detecting foreign object intrusion is the...

AI Technical Summary

Problems solved by technology

However, in actual situations, the light is greatly affected by weather and other factors, and it is difficult to achieve consistency; it is normal for the camera to shake due to wind, rain and other weather reasons, so the above conditions are generally difficult to meet, and the detection effect of foreign object intrusion is often not ideal

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