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Sensitive area crowd abnormal behavior detection method based on behavior analysis

A sensitive area and behavior analysis technology, applied in the field of computer vision, can solve the problems of low accuracy rate of crowd abnormal behavior detection, affecting the classification effect of crowd behavior features, accurate extraction of crowd behavior features, etc.

Pending Publication Date: 2020-02-21
长沙品先信息技术有限公司 +1
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  • Summary
  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the process of using traditional behavior analysis methods to detect abnormal behaviors of people in sensitive areas, it is necessary to accurately extract crowd behavior characteristics, but at this stage, it is difficult for image acquisition equipment to accurately extract crowd behavior characteristics, which affects crowd behavior. The classification effect of features leads to a decrease in the accuracy of crowd abnormal behavior detection

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  • Sensitive area crowd abnormal behavior detection method based on behavior analysis
  • Sensitive area crowd abnormal behavior detection method based on behavior analysis
  • Sensitive area crowd abnormal behavior detection method based on behavior analysis

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Embodiment Construction

[0061] In order to enable those skilled in the art to better understand the technical solution of the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments. And the features in the embodiments can be combined with each other.

[0062] figure 1 It is a flowchart of an embodiment of a method for detecting abnormal behavior of people in sensitive areas based on behavior analysis of the present invention. like figure 1 As shown, the present invention proposes a method for detecting abnormal behavior of people in sensitive areas based on behavior analysis, including the following steps:

[0063] (1) Construct the abnormal behavior feature library of the crowd to provide accurate basis for the detection of abnormal behavior of the crowd in sensitive areas.

[0064] Specifically, step (1) is expressed as:

[0065] (11) In the process of building the crowd abnormal behavior feature ...

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Abstract

The invention discloses a sensitive area crowd abnormal behavior detection method based on behavior analysis. The method comprises: establishing a crowd abnormal behavior feature library compared withthe defects of a traditional method in the aspect of sensitive area crowd abnormal behavior detection, to provide accurate basis for anomaly detection of people in sensitive area; using an Euclideandistance method for detecting abnormal behaviors of crowds in a sensitive area, so that accurate detection of dangerous behaviors of the crowds is realized, and the method has the advantage of high detection accuracy.

Description

technical field [0001] The invention belongs to computer vision technology, in particular to a method for detecting abnormal behavior of people in sensitive areas based on behavior analysis. Background technique [0002] Abnormal human behavior detection is one of the most active research topics in the field of computer vision. At present, it has broad application prospects in the intelligentization of security and early warning in safety-sensitive places such as stations, squares, and parks. The abnormal behavior of the people in the area can be monitored in real time through the monitoring equipment arranged in these sensitive areas, but under normal circumstances, it is necessary to use manual methods to monitor the real-time images. The existing method has defects such as strong subjectivity and low level of intelligence. Assuming that abnormal behaviors occur in multiple similar areas at the same time, it is very easy to have detection blind spots, resulting in abnormal...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/20G06V20/53G06F18/22
Inventor 刘湘辉
Owner 长沙品先信息技术有限公司