Video analysis-based automatic detection method for fighting and brawling abnormal behaviors

Abstract

The present invention discloses a video analysis-based automatic detection method for fighting and brawling abnormal behaviors. The method comprises the steps of S1, inputting an original image in a video sequence; S2, adopting the pyramid L-K optical flow method, calculating the motion vectors of all pixel points in the image; S3, on the basis of correcting a motion speed matrix, additionally correcting a viewing adjustment factor matrix DM; S4, subjecting the corrected motion speed matrix to clustering analysis, and dynamically extracting the effective pixel points of each frame of the image under different behaviors; S5, in conjunction with the information of the motion vectors in the aspects of motion speed and motion direction, putting forward the comprehensive feature indexes of abnormal behaviors; S6, determining a judgment threshold of motion characteristic indexes for judging the occurrence of fighting and brawling abnormal behaviors, and judging the occurrence of fighting and brawling abnormal behaviors according to the threshold. According to the technical scheme of the invention, on the basis of a result obtained based on the current optical flow calculating method, improved optical flow vectors can reflect the motion characteristics of a target in the vertical perspective field of view more accurately.

Description

technical field [0001] The invention relates to the technical field of abnormal behavior recognition, in particular to an automatic detection method for abnormal fighting behavior based on video analysis. Background technique [0002] The video surveillance system is a comprehensive application of multimedia technology, computer network, industrial control and artificial intelligence, and is constantly developing in the direction of digitization, system networking and intelligent management. At present, video surveillance is widely used in information acquisition, command and dispatch, security prevention, etc., and can provide various services such as production process control, medical monitoring, distance education, and security of large public facilities. Especially in public places with dense passenger flow, the security protection function of the video surveillance system is particularly prominent. [0003] As one of the important travel modes of public transportation...

AI Technical Summary

Problems solved by technology

According to the viewing angle characteristics of some scenes, the results calculated by the optical flow method can basically reflect the movement changes of people in the scene correctly, while in other scenes, due to the strong perspective effect, when people are under the platform camera and at the end of the platform, the same The intensity of movement is calculated by the optical flow method, and the result will have significant deviations. Therefore, the traditional optical flow method will not be able to correctly reflect the movement characteristics of the target far away from the camera equipment in the scene, which means that the abnormal behavior at the end of the platform will be extremely serious. It may be missed or missed. Conversely, normal behaviors that occur close to the camera equipment may also be misjudged as abnormal.

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