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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/21709
Title: Segmentation and visualization of crowd flows in videos using hybrid force model
Authors: Behera S.
Dogra D.P.
Bandyopadhyay M.K.
Pratim Roy, Partha
Farinella G.M.
Radeva P.Braz J.
Published in: VISIGRAPP 2020 - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2020
Abstract: Understanding crowd phenomena is a challenging task. It can help to monitor crowds to prevent unwanted incidents. Crowd flow is one of the most important phenomena that describes the motion of people in crowded scenarios. Crowd flow analysis is popular among the computer vision researchers as this can be used to describe the behavior of the crowd. In this paper, a hybrid model is proposed to understand the flows in densely crowded videos. The proposed method uses the Smooth Particle Hydrodynamics (SPH)-based method guided by the Langevin-based force model for the segmentation of linear as well as non-linear flows in crowd gatherings. SPH-based model identifies the coherent motion groups. Their behavior is then analyzed using the Langevin equation guided force model to segment dominant flows. The proposed method, based on the hybrid force model, has been evaluated on public video datasets. It has been observed that the proposed hybrid scheme is able to segment linear as well as non-linear flows with accuracy as high as 91.23%, which is 4-5% better than existing crowd flow segmentation algorithms. Also, our proposed method’s execution time is better than the existing techniques. Copyright © 2020 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved.
Citation: VISIGRAPP 2020 - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (2020), 4: 861-867
URI: http://repository.iitr.ac.in/handle/123456789/21709
Issue Date: 2020
Publisher: SciTePress
Keywords: Crowd Behavior
Crowd Flow
Crowd Flow Segmentation
Crowd Phenomena
Langevin Equation
Smooth Particle Hydrodynamics
ISBN: 9.7899E+12
Author Scopus IDs: 57215202701
35408975400
23099055900
56880478500
Author Affiliations: Behera, S., School of Electrical Sciences, Indian Institute of Technology Bhubaneswar, Odisha, India
Dogra, D.P., School of Electrical Sciences, Indian Institute of Technology Bhubaneswar, Odisha, India
Bandyopadhyay, M.K., School of Basic Sciences, Indian Institute of Technology Bhubaneswar, Odisha, India
Roy, P.P., Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Uttarakhand, India
Funding Details: The authors would like to thank the 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, DST: YSS/2014/000046; Science and Engineering Research Board, SERB
Appears in Collections:Conference Publications [CS]

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