中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 长春光学精密机械与物理研究所
  3. 中国科学院长春光学精密机械与物理研究所
  4. 中科院长春光机所知识产出
  5. 会议论文
Approach for detecting crowd panic behavior based on fluid kinematic features and entropy (EI CONFERENCE)

文献类型：会议论文

作者Li Y.; Li Y.; Li Y.; Zhang X.; Zhang X.; Zhang X.; Li Y.
出版日期2011
会议名称International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2011, November 19, 2011 - November 23, 2011
会议地点Suzhou, China
关键词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.
页码5P-5P
收录类别EI
源URL[http://ir.ciomp.ac.cn/handle/181722/33478]  
专题长春光学精密机械与物理研究所_中科院长春光机所知识产出_会议论文
推荐引用方式
GB/T 7714		 Li Y.,Li Y.,Li Y.,et al. Approach for detecting crowd panic behavior based on fluid kinematic features and entropy (EI CONFERENCE)[C]. 见:International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2011, November 19, 2011 - November 23, 2011. Suzhou, China.

入库方式： OAI收割

来源：长春光学精密机械与物理研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。