A method and system for crowd escape event detection based on direction-cluster model

An event detection and clustering technology, applied in computer parts, character and pattern recognition, instruments, etc., can solve problems such as low accuracy and inability to apply to various densities of people.

Active Publication Date: 2019-09-06
SHANDONG UNIV
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Problems solved by technology

[0005] To sum up, the existing detection methods for crowd escape events have low detection accuracy and cannot be applied to escape events of various density crowds.

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  • A method and system for crowd escape event detection based on direction-cluster model
  • A method and system for crowd escape event detection based on direction-cluster model
  • A method and system for crowd escape event detection based on direction-cluster model

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[0071] It should be noted that the following detailed description is exemplary and intended to provide further explanation of the present invention. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0072] It should be noted that the terminology used here is only for describing specific embodiments, and is not intended to limit exemplary embodiments according to the present invention. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combinations thereof.

[0073] The present invention defines "group behavior" as behavior in which more than 50 targets have coherent and uniform movement in a ...

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Abstract

The invention discloses a method and system for detecting crowd escape events based on a direction-cluster model. In order to solve the problem of low detection accuracy in the crowd escape event detection method, the technical solution is to extract the movement trajectory from the crowd monitoring video to obtain the trajectory coordinate matrix, and then calculate the speed and direction of the moving particles on the movement trajectory through the trajectory coordinate matrix ; Based on the speed of the moving particles and the disorder of the direction, set up the direction-cluster model representing the motion state of the crowd; calculate the direction-cluster index of each frame of crowd monitoring video according to the direction-cluster model; from all obtained The event detection threshold is adaptively extracted from the direction-cluster index, and then the event detection threshold is compared with the direction-cluster index of each frame of crowd surveillance video to finally detect crowd evacuation events in the crowd surveillance video. This method is widely used in medium and high-density populations with high detection accuracy.

Description

technical field [0001] The invention belongs to the field of video detection, in particular to a method and system for detecting crowd escape events based on a direction-cluster model. Background technique [0002] In recent years, in order to prevent abnormal events such as crowd fights, crowding and stampedes, and crowds fleeing, more and more video surveillance equipment is spread in public areas such as streets, subway stations, and airports, followed by a dramatic increase in video transmission volume. increase. The traditional video surveillance system needs to detect anomalies artificially. This method is not only inefficient and the labor cost is too high, but also the monitoring personnel will experience visual fatigue after working for a long time, which will lead to a decrease in concentration, resulting in a high rate of false positives and false negatives. Increase. Therefore, as one of the main tasks of intelligent video monitoring points, using computers ins...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
CPCG06V20/42G06V20/53
Inventor 常发亮王梦迪张友梅
Owner SHANDONG UNIV
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