Skip navigation
Please use this identifier to cite or link to this item:
Title: Understanding crowd flow patterns using active-Langevin model
Authors: Behera S.
Dogra D.P.
Bandyopadhyay M.K.
Pratim Roy, Partha
Published in: Pattern Recognition
Abstract: Crowd flow describes the elementary group behavior. Dynamics behind group behavior can help to identify abnormalities in flows. Quantifying flow dynamics can be challenging. In this paper, an algorithm has been proposed to describe groups’ movements in crowded scenarios by analyzing videos. A force model has been proposed based on the active Langevin equation, where the motion points are assumed to behave similarly to active colloidal particles in fluids. The force model is further augmented with computer-vision techniques to segment linear and non-linear flows. The evaluation of the proposed spatio-temporal flow segmentation scheme has been carried out with public datasets. Experiments reveal that the proposed system can segment the flows with lesser errors than existing methods. The segmentation accuracy and Normalized Mutual Information (NMI) have improved by 10% as compared to existing flow segmentation algorithms. © 2021 Elsevier Ltd
Citation: Pattern Recognition, 119
Issue Date: 2021
Publisher: Elsevier Ltd
Keywords: Active Langevin equation
Crowd analysis
Dense crowd
Human flow segmentation
Visual surveillance
ISSN: 313203
Author Scopus IDs: 57215202701
Author Affiliations: Behera, S., School of Electrical Science, Indian Institute of Technology Bhubaneswar, Argul, 752050, India
Dogra, D.P., School of Electrical Science, Indian Institute of Technology Bhubaneswar, Argul, 752050, India
Bandyopadhyay, M.K., School of Basic Sciences, Indian Institute of Technology Bhubaneswar, Argul, 752050, India
Roy, P.P., Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, 247667, India
Funding Details: The authors are grateful to Science and Engineering Research Board (SERB), Department of Science and Technology, Government of India for funding this research work through the grant YSS/2014/000046 . Department of Science and Technology, Ministry of Science and Technology, India, डीएसटी: YSS/2014/000046; Science and Engineering Research Board, SERB
Corresponding Author: Behera, S.; School of Electrical Science, India; email:
Appears in Collections:Journal Publications [CS]

Files in This Item:
There are no files associated with this item.
Show full item record

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.