Video-based fighting detection method

Abstract

The invention discloses a fighting detection method based on a video. The method comprises the steps of based on a target detection method, effectively detecting a human body target in a video ; secondly, extracting human body skeleton key point information, including continuous multi-frame skeleton key point 2D coordinate information of each human body; constructing a skeleton sequence, and constructing a space-time convolution graph on the skeleton sequence; and inputting the space-time convolution graph into a trained multilayer space-time convolution network (st-gcn) to perform action recognition. The method can be used to accurately identify fighting and other action behaviors, can be widely applied to stations, airports, supermarkets, commercial streets, playgrounds and other important public places, and realizes real-time early warning.

Description

technical field

[0001] The invention relates to the technical field of video intelligent monitoring, in particular to a method for detecting fights based on video. Background technique

[0002] Fighting and fighting are violations of law and discipline, which have a negative impact on social stability and people's lives. For fighting and fighting incidents, at present, it is mainly to notify the police after the event, and it is difficult to get the police in the first place. come difficult. With the comprehensive application and improvement of the Skynet project, the fight detection technology based on video analysis has gradually developed.

[0003] Currently adopted technology 1: use the two-dimensional image registration method to calculate the pixel motion vectors of adjacent frames of the video, perform statistical analysis on the motion vectors of the human body or convert them into energy forms, and extract pixels with chaotic motion directions and fast motion , th...

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