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dc.contributor.authorBehera S.-
dc.contributor.authorDogra D.P.-
dc.contributor.authorBandyopadhyay M.K.-
dc.contributor.authorPratim Roy, Partha-
dc.identifier.citationPattern Recognition, 119-
dc.description.abstractCrowd 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-
dc.publisherElsevier Ltd-
dc.relation.ispartofPattern Recognition-
dc.subjectActive Langevin equation-
dc.subjectCrowd analysis-
dc.subjectDense crowd-
dc.subjectHuman flow segmentation-
dc.subjectVisual surveillance-
dc.titleUnderstanding crowd flow patterns using active-Langevin model-
dc.affiliationBehera, S., School of Electrical Science, Indian Institute of Technology Bhubaneswar, Argul, 752050, India-
dc.affiliationDogra, D.P., School of Electrical Science, Indian Institute of Technology Bhubaneswar, Argul, 752050, India-
dc.affiliationBandyopadhyay, M.K., School of Basic Sciences, Indian Institute of Technology Bhubaneswar, Argul, 752050, India-
dc.affiliationRoy, P.P., Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, 247667, India-
dc.description.fundingThe 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-
dc.description.correspondingauthorBehera, S.; School of Electrical Science, India; email:
Appears in Collections:Journal Publications [CS]

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