Trending Paths: A New Semantic-level Metric for Comparing Simulated and Real Crowd Data

Wang, H orcid.org/0000-0002-2281-5679, Ondrej, J and O'Sullivan, C (2017) Trending Paths: A New Semantic-level Metric for Comparing Simulated and Real Crowd Data. IEEE Transaction on Visualization and Computer Graphics, 23 (5). pp. 1454-1464. ISSN 1077-2626

Abstract

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Copyright, Publisher and Additional Information: (c) 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Keywords: Crowd Simulation, Crowd Comparison, Data-Driven, Clustering, Hierarchical Dirichlet Process, Stochastic Optimization
Dates:
  • Published: 1 May 2017
  • Accepted: 1 December 2016
  • Published (online): 23 December 2016
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Computing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 20 Dec 2016 12:32
Last Modified: 05 Nov 2017 07:46
Published Version: https://doi.org/10.1109/TVCG.2016.2642963
Status: Published
Publisher: Institute of Electrical and Electronics Engineers
Identification Number: https://doi.org/10.1109/TVCG.2016.2642963

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