CASIA OpenIR  > 多模态人工智能系统全国重点实验室  > 三维可视计算
SocialVis: Dynamic Social Visualization in Dense Scenes via Real-time Multi-Object Tracking and Proximity Graph Construction
Li BW(李博文)1,2; Li W(李巍)1,2; Wang JQ(王镜淇)2,3; Meng WL(孟维亮)1,2; Zhang JG(张吉光)1,2; Zhang XP(张晓鹏)1,2
Source PublicationComputer Animation and Virtual Worlds
ISSN1546-4261
2024
Volume35Issue:3Pages:1-15
Corresponding AuthorMeng, Weiliang(weiliang.meng@ia.ac.cn) ; Zhang, Jiguang(jiguang.zhang@ia.ac.cn)
Abstract

To monitor and assess social dynamics and risks at large gatherings, we propose “SocialVis,” a comprehensive monitoring system based onmulti-object tracking and graph analysis techniques. Our SocialVis includes a camera detection system that operates in two modes: a real-time mode, which enables participants to track and identify close contacts instantly, and an offline mode that allows for more comprehensive post-event analysis. The dual functionality not only aids in preventing mass gatherings or overcrowding by enabling the issuance of alerts and recommendations to organizers, but also allows for the generation of proximity-based graphs that map participant interactions, thereby enhancing the understanding of social dynamics and identifying potential high-risk areas. It also provides tools for analyzing pedestrian flow statistics and visualizing paths, offering valuable insights into crowd density and interaction patterns. To enhance system performance, we designed the SocialDetect algorithm in conjunction with the BYTE tracking algorithm. This combination is specifically engineered to improve detection accuracy and minimize ID switches among tracked objects, leveraging the strengths of both algorithms. Experiments on both public and real-world datasets validate that our SocialVis outperforms existing methods, showing 1.2% improvement in detection accuracy and 45.4% reduction in ID switches in dense pedestrian scenarios.

Keyworddense pedestrian detection multi-object tracking proximity graph visualization
DOI10.1002/cav.2272
Indexed BySCI
Language英语
Funding ProjectBeijing Natural Science Foundation ; National Natural Science Foundation of China[U21A20515] ; National Natural Science Foundation of China[62376271] ; National Natural Science Foundation of China[62171321] ; National Natural Science Foundation of China[62365014] ; National Natural Science Foundation of China[62162044] ; National Natural Science Foundation of China[52175493] ; Open Project Program of State Key Laboratory of Virtual Reality Technology and Systems, Beihang University[VRLAB2023B01] ; [L231013]
Funding OrganizationBeijing Natural Science Foundation ; National Natural Science Foundation of China ; Open Project Program of State Key Laboratory of Virtual Reality Technology and Systems, Beihang University
WOS Research AreaComputer Science
WOS SubjectComputer Science, Software Engineering
WOS IDWOS:001230160400001
PublisherWILEY
IS Representative Paper
Sub direction classification图像视频处理与分析
planning direction of the national heavy laboratory环境多维感知
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Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/57157
Collection多模态人工智能系统全国重点实验室_三维可视计算
Corresponding AuthorLi BW(李博文); Zhang JG(张吉光)
Affiliation1.School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
2.State Key Laboratory ofMultimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China
3.National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Li BW,Li W,Wang JQ,et al. SocialVis: Dynamic Social Visualization in Dense Scenes via Real-time Multi-Object Tracking and Proximity Graph Construction[J]. Computer Animation and Virtual Worlds,2024,35(3):1-15.
APA Li BW,Li W,Wang JQ,Meng WL,Zhang JG,&Zhang XP.(2024).SocialVis: Dynamic Social Visualization in Dense Scenes via Real-time Multi-Object Tracking and Proximity Graph Construction.Computer Animation and Virtual Worlds,35(3),1-15.
MLA Li BW,et al."SocialVis: Dynamic Social Visualization in Dense Scenes via Real-time Multi-Object Tracking and Proximity Graph Construction".Computer Animation and Virtual Worlds 35.3(2024):1-15.
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