Method for detecting group crowd abnormal behaviors in video monitoring

A technology of video surveillance and detection method, which is applied in the field of video surveillance application and technology integration, and can solve problems such as occlusion or local gathering, environment interference crowd target recognition system, etc.
CN102799863AInactive Publication Date: 2012-11-28安吉安融智能科技有限公司
2 Cites 63 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
安吉安融智能科技有限公司
Publication Date
2012-11-28
Estimated Expiration
Not applicable · inactive patent

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
Patent Text Reader

Abstract

The invention provides a method for detecting group crowd abnormal behaviors in video monitoring. The method comprises the steps of: video target detection: obtaining video objects through edge information difference detection in successive frames, and obtaining video objects with movement change through frame difference of a foreground frame and a background frame, obtaining a relatively accurate movement target by combining two video object detection results; video target tracking: tracking targets to obtain corresponding movement tracks through a video particle-based long-period movement estimation method; group crowd detection: carrying out spectral clustering analysis on the distance between the tracks and advancing speed information through movement characteristics of the group crowd in video; and identification of group crowd abnormal behaviors: establishing a model for crowd tracks by using an MGHMM (Mixed Gaussian Hidden Markov Model), and identifying blockage and fall through sudden change of a normal track. The invention integrates technologies of crowd target detection, group target track, mode identification and machine learning.
Need to check novelty before this filing date? Find Prior Art

Description

Technical field

[0001] The invention relates to a method for detecting abnormal behavior of crowds, in particular to a method for detecting abnormal behaviors of group crowds based on video monitoring analysis, and belongs to the field of video monitoring applications and technology integration. Background technique

[0002] Although the current intelligent surveillance system for crowd recognition has received some attention in recent years, most studies have focused on determining the number of people in a small spatial area (which has been calculated in the crowd calculation and tracking paradigm). There are relatively few researches on crowd behavior analysis, and there are few related researches that can solve population detection and tracking at the level of medium-density or small group.

[0003] The intelligent monitoring system for the crowd consists of four main parts: crowd detection, crowd tracking, crowd classification and crowd abnormal behavior recogniti...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More