SocialVis: Dynamic social visualization in dense scenes via real-time multi-object tracking and proximity graph construction

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成果类型：

期刊论文

作者：

Li, Bowen;Li, Wei;Wang, Jingqi;Meng, Weiliang*;Zhang, Jiguang;...

通讯作者：

Meng, Weiliang;Zhang, JG

作者机构：

[Zhang, Jiguang; Li, Wei; Zhang, Xiaopeng; Li, Bowen; Meng, Weiliang] Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China.

[Zhang, Jiguang; Li, Wei; Zhang, Xiaopeng; Wang, Jingqi; Li, Bowen; Meng, Weiliang; Meng, WL; Zhang, JG] Chinese Acad Sci, Inst Automat, State Key Lab Multimodal Artificial Intelligence S, Beijing, Peoples R China.

[Wang, Jingqi] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Peoples R China.

通讯机构：

[Meng, WL; Zhang, JG ] C

Chinese Acad Sci, Inst Automat, State Key Lab Multimodal Artificial Intelligence S, Beijing, Peoples R China.

语种：

英文

关键词：

dense pedestrian;detection;multi-object tracking;proximity graph;visualization

期刊：

COMPUTER ANIMATION AND VIRTUAL WORLDS

ISSN：

1546-4261

年：

2024

卷：

期：

DOI：

10.1002/cav.2272

基金类别：

Beijing Natural Science Foundation; National Natural Science Foundation of China [U21A20515, 62376271, 62171321, 62365014, 62162044, 52175493]; Open Project Program of State Key Laboratory of Virtual Reality Technology and Systems, Beihang University [VRLAB2023B01]; [L231013]

机构署名：

本校为其他机构

院系归属：

国家数字化学习工程技术研究中心

摘要：

To monitor and assess social dynamics and risks at large gatherings, we propose "SocialVis," a comprehensive monitoring system based on multi-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 all...

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SocialVis: Dynamic social visualization in dense scenes via real-time multi-object tracking and proximity graph construction

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