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Abnormal behavior detection method based on optical flow algorithm

A detection method and behavior technology, applied in computing, computer parts, instruments, etc., can solve problems such as abnormal behavior and misjudgment

Pending Publication Date: 2021-02-12
XI'AN POLYTECHNIC UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
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Problems solved by technology

[0005] The purpose of the present invention is to provide a method for detecting abnormal behavior based on optical flow algorithm, which solves the problem of misjudgment of abnormal behavior that is prone to occur in the prior art

Method used

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  • Abnormal behavior detection method based on optical flow algorithm
  • Abnormal behavior detection method based on optical flow algorithm
  • Abnormal behavior detection method based on optical flow algorithm

Examples

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Embodiment

[0063] 1) In this example, the CASIA behavioral data set is used. The data set has a total of 1446 video data, which are captured by cameras distributed in three different viewing angles in the outdoor parking lot environment. The data is divided into single-person behavior and multi-person interaction behavior. Single-person behavior includes the following eight different behaviors: "walking", "running", "bending to walk", "jumping", "squatting", and "fainting" , "Wandering" and "Smashing the Car", 24 people participated in the filming of each behavior, about 4 times per person. Multiplayer interactive behaviors include the following seven different behaviors: "robbery", "fight", "tail", "chase", "meet", "join" and "overtake", once or twice for every two people. The background in the video is complex, and the light changes are obvious. The frame rate is 25fps, the resolution is 320×240, and the huffyuv encoding is used to compress the video. The video is stored in the form of...

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Abstract

The invention discloses an abnormal behavior detection method based on an optical flow algorithm. The method is specifically implemented according to the following steps: step 1, extracting optical flow information by the optical flow algorithm: extracting the optical flow information generated when a human body moves by adopting a Farneback dense optical flow algorithm; step 2, extracting behavior characteristics: counting the optical flow information extracted in the step 1 into a direction amplitude histogram; and step 3, result analysis and abnormality judgment: judging whether an abnormalbehavior occurs or not by calculating the direction and amplitude entropy of the histogram, the larger the direction and amplitude entropy of the histogram is, the more disordered the current motionis, the higher the possibility of the abnormal behavior is, and the problem of misjudgment of the abnormal behavior in the prior art is solved.

Description

technical field [0001] The invention belongs to the technical field of intelligent video monitoring, and relates to an abnormal behavior detection method based on an optical flow algorithm. Background technique [0002] At present, abnormal behaviors are defined in public places such as parking lots and train stations as follows: Fighting and robbery behaviors that are different from the normal walking behavior of the human body and have the characteristics of fast movement speed and chaotic movement direction are defined as abnormal behaviors. [0003] In recent years, fast illegal and criminal behaviors such as fights and robberies have often occurred in many public places, such as parking lots, railway stations, shopping malls, etc. These behaviors have seriously disrupted public order and brought people Lots of personal injury and property damage. In order to minimize the harm, the research of video surveillance is getting more and more attention. Numerous cameras are ...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V40/20G06V20/46
Inventor 钱慧芳郑萌萌周璇
Owner XI'AN POLYTECHNIC UNIVERSITY
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