Motion-based machine vision techniques for the management of large crowds

The early detection and the prevention of crowd-related emergencies are the main aims of large crowd management Closed Circuit Television (CCTV) systems. However, environmental and psychological factors play a role in degrading the performance of CCTV operators, hence causing a threat to crowd safet...

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Bibliographic Details
Main Authors: Boghossian, B.A., Velastin, S.A.
Format: Conference Proceeding
Language:English
Subjects:
Circuits
Computer vision
Degradation
Disaster management
Layout
Machine vision
Motion detection
Psychology
Safety
Online Access:Request full text
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Summary:The early detection and the prevention of crowd-related emergencies are the main aims of large crowd management Closed Circuit Television (CCTV) systems. However, environmental and psychological factors play a role in degrading the performance of CCTV operators, hence causing a threat to crowd safety. We present computer vision techniques that estimate the paths and directions of crowd flows in CCTV images and improve the perception of scene dynamics by offering online illustrations. Moreover, we present motion-based algorithms to detect crowd-related emergencies and assist CCTV operators in ensuring crowd safety.
DOI:10.1109/ICECS.1999.813392