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Title: Characterization of dense crowd using gibbs entropy
Authors: Behera S.
Dogra D.P.
Pratim Roy, Partha
Chaudhuri B.B.
Raman B.
Kankanhalli M.S.
Published in: Proceedings of Advances in Intelligent Systems and Computing
Abstract: Automatic understanding of crowd dynamics through computer vision is a challenging task. There exists a number of works related to crowd behaviors, especially when the gatherings are large. A crowd can be characterized by its speed, randomness, or density. Large gatherings at sociocultural events often cause traffic congestion at cities or even they lead to untoward incidents such as stampede or accidents. However, if the crowd dynamics can be understood or predicted, precautionary measures can be taken by the administrative authority. In this paper, a Gibbs entropy-based crowd characterization has been proposed to estimate crowd dynamics, especially at large gatherings. The average frame energy estimated by the kinetic energy of moving particles has been used to estimate the speed of movement, while the average frame entropy gives information about the randomness in the crowd. The proposed method has been evaluated on two publicly available datasets as well as our dataset videos recorded during sociocultural gatherings. It has been observed that the proposed entropy-energy-based analysis can successfully characterize crowd dynamics and it can be used for flow analysis and density estimation. © Springer Nature Singapore Pte Ltd. 2018.
Citation: Proceedings of Advances in Intelligent Systems and Computing, (2018), 289- 300
Issue Date: 2018
Publisher: Springer Verlag
Keywords: Crowd characterization
Crowd dynamics
Crowd flow analysis
Gibbs entropy
ISBN: 9.78981E+12
ISSN: 21945357
Author Scopus IDs: 37057132600
Author Affiliations: Behera, S., IIT Bhubaneswar, Bhubaneswar, Odisha 752050, India
Dogra, D.P., IIT Bhubaneswar, Bhubaneswar, Odisha 752050, India
Roy, P.P., IIT Roorkee, Roorkee, Uttarakhand 247667, India
Funding Details: Acknowledgements This research work is funded by Science and Engineering Research Board (SERB), Department of Science and Technology, Government of India, through the grant YSS/2014/ 000046.
Corresponding Author: Roy, P.P.; IIT RoorkeeIndia; email:
Appears in Collections:Conference Publications [CS]

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