Learning behavior patterns from video for agent-based crowd modeling and simulation

This paper proposes a novel data-driven modeling framework to construct agent-based crowd model based on real-world video data. The constructed crowd model can generate crowd behaviors that match those observed in the video and can be used to predict trajectories of pedestrians in the same scenario....

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Bibliographic Details
Main Authors: Zhong, Jinghui, Cai, Wentong, Luo, Linbo, Zhao, Mingbi
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2018
Subjects:
Online Access:https://hdl.handle.net/10356/89559
http://hdl.handle.net/10220/47082
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Institution: Nanyang Technological University
Language: English

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