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

• 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: Crowd Modeling And Simulation; Agent-based Modeling; DRNTU::Engineering::Computer science and engineering
• Online Access: https://hdl.handle.net/10356/89559; http://hdl.handle.net/10220/47082
• Institution: Nanyang Technological University

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....