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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
计算技术研究所 [1]
长春光学精密机械与物... [1]
西安光学精密机械研究... [1]
采集方式
OAI收割 [3]
内容类型
期刊论文 [2]
会议论文 [1]
发表日期
2017 [2]
2011 [1]
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Patch-based topic model for group detection
期刊论文
OAI收割
SCIENCE CHINA-INFORMATION SCIENCES, 2017, 卷号: 60, 期号: 11
作者:
Chen, Mulin
;
Wang, Qi
;
Li, Xuelong
  |  
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2017/12/26
Group Detection
Collective Behavior
Crowd Analysis
Latent Topic
Exploring Coherent Motion Patterns via Structured Trajectory Learning for Crowd Mood Modeling
期刊论文
OAI收割
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2017, 卷号: 27, 期号: 3, 页码: 635-648
作者:
Zhang, Yanhao
;
Qin, Lei
;
Ji, Rongrong
;
Zhao, Sicheng
;
Huang, Qingming
  |  
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2019/12/12
Coherent motion pattern
crowd behavior analysis
emotional motion feature
structured trajectory learning (STL)
Approach for detecting crowd panic behavior based on fluid kinematic features and entropy (EI CONFERENCE)
会议论文
OAI收割
International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2011, November 19, 2011 - November 23, 2011, Suzhou, China
作者:
Li Y.
;
Li Y.
;
Li Y.
;
Zhang X.
;
Zhang X.
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2013/03/25
Crowd panic behavior detection is an important task in video analysis and event recognition
whose purpose is to detect when the panic behavior happened and alarming the abnormal event timely. In this paper
the crowd is regard as a fluid
and the crowd motion is described by four fluid kinematic features (divergence
vorticity
gradient tensor invariant and rotation tensor invariant). To discriminate the panic event from normal crowd behavior
an information entropy is calculated as a high level feature based on the fluid kinematic features. Experimental results show that the entropy raised dramatically once a panic event happened.