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Motion cycle analysis-based method and device for identifying abnormal human behavior

A motion cycle and recognition device technology, applied in character and pattern recognition, instruments, calculations, etc., can solve the problem of relatively little research on long motion sequences

Inactive Publication Date: 2010-06-16
CHONGQING UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the research on human abnormal behavior recognition is only limited to simple and segmented movements, and there are relatively few studies on long motion sequences.

Method used

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  • Motion cycle analysis-based method and device for identifying abnormal human behavior
  • Motion cycle analysis-based method and device for identifying abnormal human behavior
  • Motion cycle analysis-based method and device for identifying abnormal human behavior

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0070] Such as figure 1 Shown: A method for identifying abnormal human behavior based on motion cycle analysis, which is carried out in the following steps:

[0071] (1) Utilize the video capture device to obtain the human body motion video sequence, and send the video sequence into the computer, and the central processing mechanism 1 extracts the human body motion behavior area from the human body motion video sequence to form the human body motion behavior sequence; the human body motion video sequence The number of frames is equal to the number of frames of the human body motion sequence, and the human body motion area in the sequence is a binary image.

[0072] The video capture device can be a shooting tool such as a camera. The human motion database of the Weizmann Academy of Sciences in Israel has seven types of human motion behavior detection results, such as image 3 As shown, they are: walking, running, running sideways, jumping with both feet in situ, waving with ...

Embodiment 2

[0126] Such as figure 2 Shown: a human body abnormal behavior recognition device based on motion cycle analysis, including a central processing mechanism 1, a motion cycle extraction mechanism 2, a motion feature extraction mechanism 3, a classifier 4 and an abnormal behavior reminder device 5, wherein the central processing mechanism 1 is connected to the motion cycle extraction mechanism 2, the motion cycle extraction mechanism 2 is connected to the motion feature extraction mechanism 3, the motion feature extraction mechanism 3 is connected to the classifier 4, the classifier 4 is connected to the abnormal behavior reminder device 5, and the abnormal behavior reminder device 5 is also connected. It is connected with the central processing mechanism 1, and the central processing mechanism 1 is also connected with an external video capture device;

[0127]Central processing mechanism 1: receive the human body motion video sequence obtained by the video capture device, and ex...

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Abstract

The invention discloses a motion cycle analysis-based method for identifying an abnormal human behavior. The method is characterized by comprising the following steps of: acquiring human motion behavior areas to form a human motion sequence; computing one-dimensional variable curves and curve frequency spectrograms of the human motion behavior areas in the sequence; judging whether the frequency spectrograms meet a periodical condition, and if all the three frequency spectrograms do not meet the periodical condition, determining that the human behavior is the abnormal behavior; if only one frequency spectrogram meets the periodical condition, determining that the human behavior is the approximate periodical behavior; extracting one motion cycle unit of the approximate periodical behavior; performing the R transform characteristics extraction of the motion cycle unit; sending the characteristics to a single-state hidden Markov model classifier for identification; and giving an alarm when the abnormal behavior occurs. The invention also discloses a motion cycle analysis-based device for identifying an abnormal human behavior, and the device is characterized by comprising a central processing mechanism, a motion cycle extracting mechanism, a motion characteristics extracting mechanism, a classifier and an abnormal behavior alarming device. The device can identify the abnormal human behavior in a higher rate of identification and give an alarm.

Description

technical field [0001] The invention relates to a method for identifying abnormal human behaviors, in particular to a method for identifying abnormal behaviors based on motion cycle analysis in a fixed scene and a device for identifying the abnormal behaviors. Background technique [0002] At present, the video monitoring information acquired by the camera will be displayed in real time on the screen in the monitoring room. The monitoring personnel can monitor the abnormal events and call the police by observing the monitoring information on the screen. Due to the short and random occurrence of abnormal events in most monitoring scenarios, manual monitoring needs to observe the information on the screen at any time to prevent missing abnormal events. Maintain a high degree of vigilance, which can easily tire the monitoring personnel and also cause a huge waste of manpower. [0003] The use of intelligent video surveillance system is the future development trend, and the key...

Claims

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Application Information

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IPC IPC(8): G06K9/00
Inventor 印勇王建东张梅张晶
Owner CHONGQING UNIV
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