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Guest Editorial Introduction to the Special Issue on Group and Crowd Behavior Analysis for Intelligent Multicamera Video Surveillance.

Authors :
Yao, Hongxun
Cavallaro, Andrea
Bouwmans, Thierry
Zhang, Zhengyou
Source :
IEEE Transactions on Circuits & Systems for Video Technology. Mar2017, Vol. 27 Issue 3, p405-408. 4p.
Publication Year :
2017

Abstract

Despite significant progress in human behavior analysis over the past few years, most of today’s state-of-the-art algorithms focus on analyzing individual behavior in a simple environment monitored by a single camera. Recently, the widespread availability of cameras and a growing need for public safety have shifted the attention of researchers in video surveillance from individual behavior analysis to group and crowd behavior analysis in multicamera networks. Group behavior analysis provides a novel level for describing events, which are semantically more meaningful, highlighting barely visible relational connections among people. Crowd behavior analysis can also be used for anomaly detection such as panic scenarios, dangerous situations, and illegal behaviors in public spaces. [ABSTRACT FROM PUBLISHER]

Details

Language :
English
ISSN :
10518215
Volume :
27
Issue :
3
Database :
Academic Search Index
Journal :
IEEE Transactions on Circuits & Systems for Video Technology
Publication Type :
Academic Journal
Accession number :
121745519
Full Text :
https://doi.org/10.1109/TCSVT.2017.2669658