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....
Main Authors: | , , , |
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Other Authors: | |
Format: | Journal Article |
Language: | English |
Published: |
2018
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/89559 http://hdl.handle.net/10220/47082 |