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Global abnormal behavior detecting method based on target motion characteristic

A technology of motion characteristics and detection methods, which is applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve the problems of reducing the detection effect and the inability to detect globally, so as to improve the accuracy, precision and efficiency of detection Effect

Inactive Publication Date: 2017-07-14
NANJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0004] The technical problem to be solved by the present invention is to overcome the deficiencies of the prior art, provide a global abnormal behavior detection method based on the motion characteristics of the target, and solve the problem that the existing video abnormal detection method cannot be detected globally and the detection effect is reduced

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  • Global abnormal behavior detecting method based on target motion characteristic
  • Global abnormal behavior detecting method based on target motion characteristic
  • Global abnormal behavior detecting method based on target motion characteristic

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Embodiment Construction

[0038] Embodiments of the present invention will be described below in conjunction with the accompanying drawings.

[0039] Such as figure 1 As shown, the present invention proposes a global abnormal behavior detection method based on target motion characteristics, which specifically includes the following steps:

[0040] Step A, extracting the motion characteristics of the moving target in the video;

[0041] Step B, learning and establishing abnormal behavior models based on energy, dispersion and Lagrangian particle dynamics for the moving target according to the motion characteristics extracted in step A;

[0042] Step C, according to the established energy-based, dispersion-based and Lagrangian particle dynamics-based abnormal behavior models, the global abnormal behavior detection of moving targets is performed, and abnormal regions are determined and marked.

[0043] Specifically, in the step A, in the abnormal behavior detection process, the most critical step is to ...

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Abstract

The invention discloses a global abnormal behavior detecting method based on a target motion characteristic, which belongs to the technical field of video behavior detection. The method comprises the steps that the motion characteristic of a motion target in a video is extracted; according to the extracted motion characteristic, learning and establishing of abnormal behavior models based on energy, dispersion and Lagrangian particle dynamics are carried out on the motion target; according to the established abnormal behavior models based on energy, dispersion and Lagrangian particle dynamics, global abnormal behavior detecting is carried out on the motion target; and an abnormal area is determined and marked. According to the invention, based on the inherent characteristic of a video abnormal behavior, the global abnormal behavior detecting accuracy and efficiency can be effectively improved; three models are used to detect the abnormal behavior; and the detection precision is further improved.

Description

technical field [0001] The invention relates to a global abnormal behavior detection method based on target motion characteristics, and belongs to the technical field of video abnormal behavior detection. Background technique [0002] Abnormal video behavior detection refers to the ability to automatically analyze abnormal behaviors that occur in video surveillance scenarios and send alarm signals to them. For example, the behavior of crowds dispersing suddenly on the open lawn, the behavior of crowds hiding in corridors, and the behavior of crowds fleeing in open squares can all be detected and alarmed by the intelligent monitoring system in time. It is assumed that on the basis of obtaining a set of normal training video samples, it is determined whether the test video contains abnormal behavior. [0003] Early research on abnormal behavior detection mainly focused on using simple ensemble models to describe human behavior, such as based on two-dimensional contour models,...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V20/41G06V20/46
Inventor 金栋梁朱松豪李向向邢晓远岳东
Owner NANJING UNIV OF POSTS & TELECOMM
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