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Group Abnormal Behavior Detection Method and System

A detection method and group technology, applied in image analysis, instrumentation, calculation, etc., can solve problems such as complex process and low efficiency

Active Publication Date: 2020-10-27
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] It can be seen that most of the current abnormal group behavior detection methods need to establish a model, and then carry out model learning, which is inefficient and complicated

Method used

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Embodiment Construction

[0019] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0020] refer to figure 1 Shown is a flow chart of a preferred embodiment of a group abnormal behavior detection method of the present invention.

[0021] In step S1, the group tracking method of the dynamic evolution of the group structure is used to perform group tracking on the group in the video frame. Specific steps are as follows:

[0022] (1) Use the optical flow method to track the feature points extracted in the video frame, and obtain the motion information of the feature points.

[0023] (2) According to the obtained motion information of the feature points, calculate whether the motion patterns of the feature points are consistent, and cluster the feature points with consistent motion patterns according to the density, so that the density of the feature points contained in the generated block is larger .

[0024] (3) Us...

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Abstract

The invention relates to a group abnormal behavior detection method, which comprises the following steps: carrying out group tracking on groups in a video frame through a group structure dynamic evolution group tracking method; carrying out record storage on the number of blocks included in each frame of the tracked groups until the group tracking is finished; and calculating the number of blocks of the tracked groups within a certain time period, and judging whether group abnormal behaviors appear according to the threshold value and weight. The invention also relates to a group abnormal behavior detection system. Abnormal behaviors are detected directly based on basic characteristics of the groups, and the method is very simple and convenient, thereby preventing complex model learning process, and improving efficiency in finding the reasons for safety problems.

Description

technical field [0001] The invention relates to a group abnormal behavior detection method and system. Background technique [0002] In the fast-paced modern society, the population growth rate is getting faster and faster, and a series of problems caused by the population are becoming more and more prominent. In places with relatively dense crowd density, such as railway stations and bus stations, the safety problem is particularly prominent. Through the detection of abnormal behavior, a large amount of information that is useless to security in the surveillance video can be filtered out, saving a lot of manpower. In a public place with a lot of people, by analyzing the surveillance video and then judging the occurrence of some events that cause safety problems and making corresponding responses in a timely manner, not only can the emergency be effectively handled, but also the maintenance of the public place Safety and the safety of people's lives and property have made ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/20
Inventor 董露李娜冯良炳
Owner SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI