CLUST : simulating realistic crowd behaviour by mining pattern from crowd videos

• Main Authors: Zhao, Mingbi, Cai, Wentong, Turner, S. J.
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2019
• Subjects: Behavioural Animation; Animation; Engineering::Computer science and engineering
• Online Access: https://hdl.handle.net/10356/83271; http://hdl.handle.net/10220/50079
• Institution: Nanyang Technological University

In this paper, we present a data‐driven approach to simulate realistic locomotion of virtual pedestrians. We focus on simulating low‐level pedestrians' motion, where a pedestrian's motion is mainly affected by other pedestrians and static obstacles nearby, and the preferred velocities of a...