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Method for detecting exception target behavior in intelligent vision monitoring

A technology for abnormal detection and intelligent vision, applied in image data processing, instrumentation, computing, etc., to achieve the effect of high level of intelligence, fast detection speed, and fast learning speed

Active Publication Date: 2011-06-15
ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Again, this approach requires pre-configuration of specific behavior

Method used

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  • Method for detecting exception target behavior in intelligent vision monitoring
  • Method for detecting exception target behavior in intelligent vision monitoring
  • Method for detecting exception target behavior in intelligent vision monitoring

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] As shown in the figure, a module structure for detecting abnormal target behavior in intelligent visual surveillance includes:

[0035] Target tracking module 110: sampling an image sequence containing a moving target to generate a target moving track;

[0036] Trajectory database 115: store the target movement trajectory;

[0037] Preprocessing module 120: Use moving average filtering to filter out the noise of the target motion trajectory to make it smooth, and describe the target motion trajectory with a spatial descriptor;

[0038] Sub-trajectory extraction module 125: extract the sub-trajectory set of the target motion trajectory, and merge to form the sub-trajectory data set;

[0039] Sub-trajectory pattern network 130: Use the first self-organizing feature mapping network to learn the sub-trajectory data set, and generate a sub-trajectory distribution pattern set;

[0040] Sub-trajectory abnormality detection information generating module 135: Calculate the abnormality thre...

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Abstract

The invention discloses a method for detecting abnormal target behavior in intelligent visual surveillance. The method includes two processes, namely, target behavior learning and target behavior detection. The target behavior obtains the abnormal threshold value Epsilon<c> of every sub-track distribution mode and the abnormal threshold value Epsilon<e> of every track distribution mode of target trajectory which describes occurred target behavior; the target detecting proceses calculates the distance from the target trajectory which describes the target behavior to be measured to every sub-track distribution mode and every track distribution mode so as to compare the distance with the abnormal threshold value and judge whether the target behavior is abnormal. The method uses the local and integral behavior modes of self-organizing map network acquisition target respectively, which can detect not only the integral abnormal behavior of a target, but also the local abnormal behavior of the target in moving process.

Description

Technical field [0001] The invention relates to the technical field of intelligent visual monitoring, in particular to a method for detecting abnormal target behavior in intelligent visual monitoring. Background technique [0002] With the improvement of computer processing power, the development of audio and video coding and decoding technology, Internet technology, network multimedia technology and mass storage technology, as well as the increasing demand of security, finance, education and other industries, video surveillance technology has developed rapidly. The intelligent visual monitoring system has the ability to observe and analyze the content of the monitoring scene, and can automatically analyze the video sequence recorded by multiple cameras without human intervention, thereby replacing people to complete the visual monitoring task. [0003] Intelligent visual monitoring includes target detection, target classification, target tracking, target behavior analysis and unde...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/20
Inventor 陈耀武曲琳孟旭炯
Owner ZHEJIANG UNIV