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Interaction behavior detection method in video monitoring scene

A technology of video monitoring and detection methods, which is applied in image data processing, instruments, character and pattern recognition, etc., and can solve problems such as inability to detect global interactive behavior, time sensitivity, semantic confusion, etc.

Inactive Publication Date: 2014-06-04
SHANGHAI JIAO TONG UNIV
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

However, their method is too sensitive to time, resulting in some similar behavior sequences detected, so there is semantic confusion. In addition, their method cannot detect global interactive behavior

Method used

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  • Interaction behavior detection method in video monitoring scene
  • Interaction behavior detection method in video monitoring scene
  • Interaction behavior detection method in video monitoring scene

Examples

Experimental program
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Embodiment 1

[0039] Such as figure 1 As shown, this embodiment includes:

[0040] The video sequence used in this implementation comes from the database QMUL (The Queen Mary University of London) traffic database, the frame rate is 25pfs, the resolution is 360×288, and the duration is 1 hour (89925 frames). figure 2 For video surveillance scenarios. The QMUL database comes from Queen Mary, University of London, and is a database dedicated to behavior analysis of complex video surveillance scenarios.

[0041] The present invention is achieved through the following technical solutions, comprising the following steps:

[0042] 1) Using TV‐L 1 The optical flow algorithm calculates the optical flow features between adjacent frames in the video sequence, and denoises the amplitude of the optical flow, that is, when the amplitude value of the optical flow feature is less than the threshold Thr a , then remove the optical flow; in this embodiment Thr a =0.8.

[0043] 2) Quantify the positio...

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Abstract

The invention provides an interaction behavior detection method in a video monitoring scene, and relates to the technical field of digital image processing. Features of light streams between adjacent frames in a video sequence are extracted, and the video sequence is expressed in a word bag mode; then video files are modeled by means of a layered Dirichlet process model so that each video file can have an atom behavior distribution expression related to the corresponding video file; the dynamic change of an atom behavior is expressed as a multivariate point process, and non-parameter Granger causality analysis is carried out on the multivariate point process; ultimately, a causality directed graph is obtained according to Granger causality, and local and overall interaction behaviors are detected. According to the interaction behavior detection method, local interaction behaviors can be detected and meanwhile overall interaction behaviors can be detected.

Description

technical field [0001] The invention relates to a method in the technical field of digital image processing, in particular to an interactive behavior detection method in a video surveillance scene. Background technique [0002] Recognizing behavioral patterns in a scene, including the spatiotemporal interactions between behaviors, is an important problem in intelligent video surveillance. The purpose is to detect as many behaviors as possible with an unsupervised method and establish the time dependence between them. Usually, the identification of behavioral spatiotemporal interaction can be used for higher-level semantic analysis, such as scene annotation, retrieval, anomaly detection, etc. For example, identifying different traffic flows in traffic monitoring scenarios, as well as transitions between traffic states, so that possible traffic chaos can be detected and prevented. However, in complex video surveillance scenarios, detecting and quantifying the correlation bet...

Claims

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Application Information

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IPC IPC(8): G06K9/66G06T7/20
Inventor 樊亚文郑世宝吴双
Owner SHANGHAI JIAO TONG UNIV
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