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

• Main Authors: Zhao, Mingbi, Cai, Wentong, Turner, S. J.
• 其他作者: School of Computer Science and Engineering
• 格式: Article
• 語言: English
• 出版: 2019
• 主題: Behavioural Animation; Animation; Engineering::Computer science and engineering
• 在線閱讀: https://hdl.handle.net/10356/83271; http://hdl.handle.net/10220/50079
• 機構: 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...