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

• المؤلفون الرئيسيون: Zhao, Mingbi, Cai, Wentong, Turner, S. J.
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2019
• الموضوعات: Behavioural Animation; Animation; Engineering::Computer science and engineering
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/83271; http://hdl.handle.net/10220/50079
• المؤسسة: 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...