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A Fusion Crowd Simulation Method: Integrating Data with Dynamics, Personality with Common

文献类型：期刊论文

作者Mao, Tianlu2; Wang, Ji2; Meng, Ruoyu1; Yan, Qinyuan2; Liu, Shaohua1; Wang, Zhaoqi2
刊名COMPUTER GRAPHICS FORUM
出版日期2022-12-01
卷号41期号:8页码:131-142
ISSN号0167-7055
DOI10.1111/cgf.14630
英文摘要This paper proposes a novel crowd simulation method which integrates not only modelling ideas but also advantages from both data-driven methods and crowd dynamics methods. To seamlessly integrate these two different modelling ideas, first, a fusion crowd motion model is developed. In this model the motion of crowd are driven dynamically by different forces. Part of the forces are modeled under a universal interaction mechanism, which describe the common parts of crowd dynamics. Others are modeled by examples from real data, which describe the personality parts of the agent motion. Second, a construction method for example dataset is proposed to support the fusion model. In the dataset, crowd trajectories captured in the real world are decomposed and re-described under the structure of the fusion model. Thus, personality parts hidden in the real data could be locked and extracted, making the data understandable and migratable for our fusion model. A comprehensive crowd motion generation workflow using the fusion model and example dataset is also proposed. Quantitative and qualitative experiments and user studies are conducted. Results show that the proposed fusion crowd simulation method can generate crowd motion with the great motion fidelity, which not only match the macro characteristics of real data, but also has lots of micro personality showing the diversity of crowd motion.
资助项目National Key Research and Development Program of China[2020YFB1710400] ; Major Program of National Natural Science Foundation of China[91938301] ; Youth Program of National Natural Science Foundation of China[62002345] ; Innovation Program of Institute of Computing Technology Chinese Academy of Sciences[E261070]
WOS研究方向Computer Science
语种英语
WOS记录号WOS:001047605100014
出版者WILEY
源URL[http://119.78.100.204/handle/2XEOYT63/21175]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Mao, Tianlu
作者单位1.Beijing Univ Posts & Telecommun, Beijing, Peoples R China
2.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Mao, Tianlu,Wang, Ji,Meng, Ruoyu,et al. A Fusion Crowd Simulation Method: Integrating Data with Dynamics, Personality with Common[J]. COMPUTER GRAPHICS FORUM,2022,41(8):131-142.
APA Mao, Tianlu,Wang, Ji,Meng, Ruoyu,Yan, Qinyuan,Liu, Shaohua,&Wang, Zhaoqi.(2022).A Fusion Crowd Simulation Method: Integrating Data with Dynamics, Personality with Common.COMPUTER GRAPHICS FORUM,41(8),131-142.
MLA Mao, Tianlu,et al."A Fusion Crowd Simulation Method: Integrating Data with Dynamics, Personality with Common".COMPUTER GRAPHICS FORUM 41.8(2022):131-142.

入库方式： OAI收割

来源：计算技术研究所

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