Crowded Scene Analysis: A Survey
Automated scene analysis has been a topic of great interest in computer vision and cognitive science. Recently, with the growth of crowd phenomena in the real world, crowded scene analysis has attracted much attention. However, the visual occlusions and ambiguities in crowded scenes, as well as the...
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| Published in | IEEE transactions on circuits and systems for video technology Vol. 25; no. 3; pp. 367 - 386 |
|---|---|
| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
IEEE
01.03.2015
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1051-8215 1558-2205 |
| DOI | 10.1109/TCSVT.2014.2358029 |
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| Abstract | Automated scene analysis has been a topic of great interest in computer vision and cognitive science. Recently, with the growth of crowd phenomena in the real world, crowded scene analysis has attracted much attention. However, the visual occlusions and ambiguities in crowded scenes, as well as the complex behaviors and scene semantics, make the analysis a challenging task. In the past few years, an increasing number of works on the crowded scene analysis have been reported, which covered different aspects including crowd motion pattern learning, crowd behavior and activity analyses, and anomaly detection in crowds. This paper surveys the state-of-the-art techniques on this topic. We first provide the background knowledge and the available features related to crowded scenes. Then, existing models, popular algorithms, evaluation protocols, and system performance are provided corresponding to different aspects of the crowded scene analysis. We also outline the available datasets for performance evaluation. Finally, some research problems and promising future directions are presented with discussions. |
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| AbstractList | Automated scene analysis has been a topic of great interest in computer vision and cognitive science. Recently, with the growth of crowd phenomena in the real world, crowded scene analysis has attracted much attention. However, the visual occlusions and ambiguities in crowded scenes, as well as the complex behaviors and scene semantics, make the analysis a challenging task. In the past few years, an increasing number of works on the crowded scene analysis have been reported, which covered different aspects including crowd motion pattern learning, crowd behavior and activity analyses, and anomaly detection in crowds. This paper surveys the state-of-the-art techniques on this topic. We first provide the background knowledge and the available features related to crowded scenes. Then, existing models, popular algorithms, evaluation protocols, and system performance are provided corresponding to different aspects of the crowded scene analysis. We also outline the available datasets for performance evaluation. Finally, some research problems and promising future directions are presented with discussions. |
| Author | Bingbing Ni Teng Li Richang Hong Meng Wang Shuicheng Yan Huan Chang |
| Author_xml | – sequence: 1 givenname: Teng surname: Li fullname: Li, Teng – sequence: 2 givenname: Huan surname: Chang fullname: Chang, Huan – sequence: 3 givenname: Meng surname: Wang fullname: Wang, Meng – sequence: 4 givenname: Bingbing surname: Ni fullname: Ni, Bingbing – sequence: 5 givenname: Richang surname: Hong fullname: Hong, Richang – sequence: 6 givenname: Shuicheng surname: Yan fullname: Yan, Shuicheng |
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| CODEN | ITCTEM |
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| Snippet | Automated scene analysis has been a topic of great interest in computer vision and cognitive science. Recently, with the growth of crowd phenomena in the real... |
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| SubjectTerms | Analytical models Dynamics Feature extraction Histograms Image analysis Tracking Visualization |
| Title | Crowded Scene Analysis: A Survey |
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