Abnormal behavior analysis method based on target trajectory

Abstract

The invention discloses an abnormal behavior analysis method based on a target trajectory. The method comprises the following steps: moving target tracking: inputting a video into a system, carrying out the target detection of the video through the system, carrying out the moving target tracking of a target in the video, obtaining the position of the moving target in each frame of image in a video sequence, and obtaining a target movement trajectory; path extraction: preprocessing the target movement track by adopting a polynomial fitting method, clustering by adopting a clustering algorithm, modeling data obtained after clustering, and extracting to obtain a scene path; behavior analysis: matching the input to-be-judged movement mode with the normal behavior model, and obtaining a behavior analysis result according to the matching condition; according to the method, the track of the moving object is obtained, and the behavior and activity of the moving object are further understood and predicted, so that the problem that judgment of the occurrence of a suspicious event mainly depends on manpower in a traditional video monitoring system is solved.

Description

technical field [0001] The invention relates to the research field of abnormal behavior analysis, in particular to an abnormal behavior analysis method based on target trajectory. Background technique [0002] With the development of information technology, the visual behavior analysis of moving objects is a cutting-edge research in the field of computer vision that has attracted much attention in recent years. Understand as the research target, perform motion detection, recognition, tracking and behavior understanding on the moving target of the sequence image. Behavior understanding is one of the fundamental purposes of visual behavior analysis of moving objects. [0003] The method of using motion trajectory to represent motion behavior involves issues such as motion detection and segmentation, target positioning and recognition, that is, target tracking; while behavior analysis and understanding involves issues such as feature combination, machine learning, statistical ...

AI Technical Summary

Problems solved by technology

[0005] In the initial stage of the development of video surveillance technology, the staff observed the acquired data. Due to the huge amount of data, it is obviously very unreasonable to use human inspection. It is not only a waste of manpower but also prone to omissions.

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