Dense passenger flow abnormal behavior detection method

A detection method and abnormal technology, applied in the field of abnormal behavior detection of dense passenger flow, can solve the problems of leaving monitoring blind spots, unable to find in time, unable to be found in time, etc., to avoid the increase of hardware costs and save too many settings.

Active Publication Date: 2017-04-26
SHANGHAI ADVANCED RES INST CHINESE ACADEMY OF SCI
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Problems solved by technology

However, this will leave monitoring blind spots between different camera fields of view. Once abnormalities occur in these areas, managers will not be able to detect them in time and deal with them accordingly.
[0003] Therefore, it is neces

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  • Dense passenger flow abnormal behavior detection method
  • Dense passenger flow abnormal behavior detection method
  • Dense passenger flow abnormal behavior detection method

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[0023] Embodiments of the present invention are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that, in the case of no conflict, the following embodiments and features in the embodiments can be combined with each other.

[0024] It should be noted that the diagrams provided in the following embodiments are only schematically illustrating the basic ideas of the present invention, and only the components related to the present invention are shown in the diagrams rather than the number, shape and shape of the compo...

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Abstract

The invention provides a dense passenger flow abnormal behavior detection method. The method mainly involves extracting and analyzing group motion features in a vision scope of each pick-up head in a sparse monitoring network, respectively determining motion behavior outside the vision scope of each pick-up head and an orientation in which abnormal motion behavior may take place and determining behavior of group motion of a monitoring blind area composed of areas outside the vision scope of each pick-up head accordingly. The method realizes detection and determining of the behavior of group abnormal motion outside a monitoring vision field through analyzing the group motion behavior in the monitoring vision field of the sparse monitoring network and realizes formation of a monitoring network capable of covering large areas through a small number of pick-up heads.

Description

technical field [0001] The invention relates to the technical field of video image information processing, in particular to a method for detecting abnormal behavior of dense passenger flow. Background technique [0002] In recent years, there have been many research results and practical applications of video surveillance technology in the direction of intelligence and networking. With the continuous improvement of public security needs, on the one hand, the behavior detection and analysis of only a few individuals can no longer meet the monitoring needs, and group movement analysis has attracted more and more attention. On the other hand, in order to realize the seamless monitoring of public places, it is necessary to deploy a large number of video monitoring points to expand the monitoring range. The ideal mode is to use multiple cameras to fully cover the monitoring area. These cameras overlap or are adjacent to each other in the field of view to obtain a continuous scen...

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Application Information

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IPC IPC(8): G06K9/00H04N7/18
CPCH04N7/181G06V20/42G06V20/47G06V20/53
Inventor 董楠魏建明陈建英
Owner SHANGHAI ADVANCED RES INST CHINESE ACADEMY OF SCI
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