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Author
Ying Zhao
;
Mengqi Yuan
;
Guofeng Su
;
Tao Chen
Title
Crowd Security Detection based on Entropy Model
Type
Conference Article
Year
2015
Publication
ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management
Abbreviated Journal
ISCRAM 2015
Volume
Issue
Pages
Keywords
Crowd mutation
;
crowd security
;
entropy
;
warning alarm
Abstract
Identifying the terror attack, illegal public gathering or other mass events risks by utilizing cameras is an important concern both in crowd security area and in pattern recognition research area. This paper provides a physical entropy model to measure the crowd security level.The entropy model was created by identifying individuals?moving velocity and the related probability. The individuals are represented by Harris Corners in videos, thus to avoid the time-consuming human recognition task. Simulation experiment and video detection experiments were conducted, verified that in the disordered state, the entropy is higher; while in ordered state, the entropy is much lower; when the crowd security has a sudden change, the entropy will change. It was verified that the entropy is the applicable indicator of crowd security. By recognizing the entropy mutation, it is possible to automatically detect the abnormal crowd behavior and to set the warning alarm.
Address
Corporate Author
Thesis
Publisher
University of Agder (UiA)
Place of Publication
Kristiansand, Norway
Editor
L. Palen; M. Buscher; T. Comes; A. Hughes
Language
English
Summary Language
English
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
2411-3387
ISBN
9788271177881
Medium
Track
Analytical Modelling and Simulation
Expedition
Conference
ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management
Notes
Approved
no
Call Number
Serial
1180
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