Algorithm for identifying and positioning crowd abnormal behaviors by utilizing accumulated light streams

A technology for identifying positioning and crowds, applied in character and pattern recognition, computing, computer parts, etc.

Pending Publication Date: 2019-11-08
ZHEJIANG SHUREN COLLEGE ZHEJIANG SHUREN UNIV
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

The individual-oriented feature method is based on the segmentation and tracking of each target, and uses individual features to

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  • Algorithm for identifying and positioning crowd abnormal behaviors by utilizing accumulated light streams
  • Algorithm for identifying and positioning crowd abnormal behaviors by utilizing accumulated light streams
  • Algorithm for identifying and positioning crowd abnormal behaviors by utilizing accumulated light streams

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Embodiment Construction

[0060] Such as figure 1 Shown, the present invention comprises the following steps:

[0061] Step 1. Aiming at the specific goal of detecting emergencies in public places with high crowd density, analyze the spatio-temporal structure of crowd behaviors such as gathering and dispersing through surveillance videos, decompose them into quantifiable behavior units, and build an upper-level recognition rule base ;

[0062] Step 2. Based on the assumption of motion-triggered events, the optical flow is used to obtain the movement information of the crowd in the scene, and the active area is segmented by the integral optical flow. On this basis, the Lagrangian particle dynamics and stability analysis methods are used to describe and construct the crowd. model, build a dynamical system, and characterize the dynamic evolution process of the crowd;

[0063] Step 3. According to the space-time structure of crowd behavior and the upper-level identification rules, calculate connotative f...

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Abstract

The invention provides an algorithm for identifying and positioning crowd abnormal behaviors by utilizing accumulated light streams. The algorithm comprises the following operation processes: step 1,performing space-time structure analysis on crowd behaviors; step 2, establishing a crowd behavior space-time structure and an identification rule; step 3, carrying out crowd behavior identification and positioning through the monitoring video; and step 4, comparing experimental analysis and result evaluation, and giving an alarm for an abnormal event. According to the invention, research is carried out on crowd behavior analysis and identification highly related to emergencies; and real-time detection of emergencies is realized, and the algorithm is applied to real-time monitoring and post-event analysis of high-crowd-density public places, has great practical significance and economic value for construction of safe cities and guarantee of public safety, and has wide application prospectsin deployment and implementation of video monitoring systems in urban public places.

Description

technical field [0001] The invention relates to an algorithm system for identifying and locating abnormal behaviors of crowds, in particular to an algorithm for identifying and locating abnormal behaviors of crowds by using accumulated optical flow. Background technique [0002] In the process of economic and social transformation, urban public security issues are facing challenges. In recent years, with the informatization construction of security projects such as the Golden Shield Project and Safe City, video surveillance systems have been widely used in the normal management of public security and the security of large-scale events, playing an important role. Compared with other prevention and control methods, video surveillance has the advantages of non-intrusion, large surveillance range, and rich and intuitive collection information. In public places such as squares and stations where pedestrians are the main monitoring objects, using computers to automatically analyz...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V40/20G06V20/41G06V20/53
Inventor 陈华锋叶时平白直灿
Owner ZHEJIANG SHUREN COLLEGE ZHEJIANG SHUREN UNIV
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