Video motion object abnormal behavior automatic detection method

A technology for automatic detection of moving objects, applied to instruments, character and pattern recognition, computer components, etc., can solve the problem of low robustness of abnormal behavior detection results

Inactive Publication Date: 2013-12-25
SHANGHAI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide an improved automatic detection method for abnormal behavior of video moving objects in view of the problems that the results

Method used

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  • Video motion object abnormal behavior automatic detection method
  • Video motion object abnormal behavior automatic detection method
  • Video motion object abnormal behavior automatic detection method

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Experimental program
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Embodiment 1

[0065] see figure 1 , the method for automatic detection of abnormal behavior of video moving objects is characterized in that according to the flow of particles in the Lagrangian particle dynamic system to reflect the motion state of video moving objects, the abnormal behavior of moving objects and its normal behavior exist in the range of motion and direction of motion Differences, automatic detection of abnormal behavior of video moving objects; the specific steps are as follows:

[0066] 1) Start the video capture system: capture video images;

[0067] 2) Motion optical flow field calculation;

[0068] 3) Particle dynamic system structure;

[0069] 4) Dynamic particle update;

[0070] 5) Motion feature extraction;

[0071] 6) Abnormal behavior detection;

[0072] The specific operation steps of the step 2) calculating the motion optical flow field are as follows:

[0073] (1) Calculate the optical flow field of two consecutive adjacent frames of images collected by ...

Embodiment 2

[0095] This embodiment is: the operating procedure is as follows figure 1 As shown, the original frame of image in this example is as follows figure 2 shown, yes figure 2 In the video image sequence shown, the Lagrangian particle dynamic system is introduced, and the dynamic flow field is used to describe the motion behavior of the moving object, and the motion features are extracted. According to the difference between the abnormal behavior of the moving object and its normal behavior in the range and direction of motion, By comparing the changes in the motion amplitude and direction of motion in two adjacent frames of video images, automatic detection of abnormal behavior of moving objects is performed. The specific steps are as follows:

[0096] (1) Start the video capture system: capture video images;

[0097] (2) Calculation of motion optical flow field: calculate the optical flow field of two consecutive adjacent frames of images collected by the camera F ( u, v )...

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Abstract

The invention relates to a video motion object abnormal behavior automatic detection method. The motion state of a video motion object is reflected according to particle flow in a Lagrange particle dynamic system, the abnormal behavior of the motion object and the normal behavior of the motion object are different in motion amplitude and motion direction, and by comparing changing of motion amplitude and motion direction in two adjacent frames of video images, automatic detection of the abnormal behavior of the video motion object is achieved. According to the method, the motion object does not need to be tracked, training by collecting a motion object abnormal behavior sample is of no need, and under various situations, automatic detection of the abnormal behavior of the motion object is achieved.

Description

technical field [0001] The invention relates to an automatic detection method for abnormal behavior of video moving objects, which is used for public safety and prevention, and video digital image analysis and understanding. It belongs to the technical field of intelligent information processing. Background technique [0002] With the rapid growth of urban population and the increasingly complex urban environment, urban social security emergencies such as mass incidents, riots, and terrorist attacks have seriously affected urban public security. Building a harmonious and safe society has become an important topic in today's international society. [0003] In recent years, the intelligent visual monitoring technology that conducts semantic analysis and understanding of the behavior of moving objects through real-time monitoring of targets staying or passing by in a specific scene and based on the observed image information has attracted widespread attention from scholars at ...

Claims

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Application Information

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IPC IPC(8): G06K9/00
Inventor 管业鹏仉长崎
Owner SHANGHAI UNIV
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