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

首页 > 成果 > 详情

认领

导出

Link by DOI

反馈

作者信息关键词期刊信息基础信息归属信息摘要

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...

反馈

产权有误：本人成果被他人认领

数据有误：数据基本信息有误

归属有误：成果的院系归属、机构署名归属有误

其他原因：

验证码：

看不清楚，换一个

确定

取消

成果认领

标题：

用户	作者	通讯作者	--
	请选择	请选择	--

确定

取消

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

反馈

成果认领

提示

该栏目需要登录且有访问权限才可以访问