Activity-Based Scene Decomposition for Topology Inference of Video Surveillance Network
The topology inference is the study of spatial and temporal relationships among cameras within a video surveillance network. We propose a novel approach to understand activities based on the visual coverage of a video surveillance network. In our approach, an optimal camera placement scheme is first...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
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| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2014/645145 |
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| _version_ | 1850164203458920448 |
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| author | Hongguang Zhang Jianzhu Cui Peng Wang Shibao Zheng |
| author_facet | Hongguang Zhang Jianzhu Cui Peng Wang Shibao Zheng |
| author_sort | Hongguang Zhang |
| collection | DOAJ |
| description | The topology inference is the study of spatial and temporal relationships among cameras within a video surveillance network. We propose a novel approach to understand activities based on the visual coverage of a video surveillance network. In our approach, an optimal camera placement scheme is firstly presented by using a binary integer programming algorithm in order to maximize the surveillance coverage. Then, each camera view is decomposed into regions based on the Histograms of Color Optical Flow (HCOF), according to the spatial-temporal distribution of activity patterns observed in a training set of video sequences. We conduct experiments by using hours of video sequences captured at an office building with seven camera views, all of which are sparse scenes with complex activities. The results of real scene experiment show that the features of histograms of color optic flow offer important contextual information for spatial and temporal topology inference of a camera network. |
| format | Article |
| id | doaj-art-ea929c45f7b1420fb7de509e8f09c25a |
| institution | OA Journals |
| issn | 2090-0147 2090-0155 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Electrical and Computer Engineering |
| spelling | doaj-art-ea929c45f7b1420fb7de509e8f09c25a2025-08-20T02:22:02ZengWileyJournal of Electrical and Computer Engineering2090-01472090-01552014-01-01201410.1155/2014/645145645145Activity-Based Scene Decomposition for Topology Inference of Video Surveillance NetworkHongguang Zhang0Jianzhu Cui1Peng Wang2Shibao Zheng3Shanghai Advanced Research Institute, Chinese Academy of Sciences, ChinaShanghai Advanced Research Institute, Chinese Academy of Sciences, ChinaShanghai Advanced Research Institute, Chinese Academy of Sciences, ChinaShanghai Key Laboratory of Digital Media Processing and Transmission, ChinaThe topology inference is the study of spatial and temporal relationships among cameras within a video surveillance network. We propose a novel approach to understand activities based on the visual coverage of a video surveillance network. In our approach, an optimal camera placement scheme is firstly presented by using a binary integer programming algorithm in order to maximize the surveillance coverage. Then, each camera view is decomposed into regions based on the Histograms of Color Optical Flow (HCOF), according to the spatial-temporal distribution of activity patterns observed in a training set of video sequences. We conduct experiments by using hours of video sequences captured at an office building with seven camera views, all of which are sparse scenes with complex activities. The results of real scene experiment show that the features of histograms of color optic flow offer important contextual information for spatial and temporal topology inference of a camera network.http://dx.doi.org/10.1155/2014/645145 |
| spellingShingle | Hongguang Zhang Jianzhu Cui Peng Wang Shibao Zheng Activity-Based Scene Decomposition for Topology Inference of Video Surveillance Network Journal of Electrical and Computer Engineering |
| title | Activity-Based Scene Decomposition for Topology Inference of Video Surveillance Network |
| title_full | Activity-Based Scene Decomposition for Topology Inference of Video Surveillance Network |
| title_fullStr | Activity-Based Scene Decomposition for Topology Inference of Video Surveillance Network |
| title_full_unstemmed | Activity-Based Scene Decomposition for Topology Inference of Video Surveillance Network |
| title_short | Activity-Based Scene Decomposition for Topology Inference of Video Surveillance Network |
| title_sort | activity based scene decomposition for topology inference of video surveillance network |
| url | http://dx.doi.org/10.1155/2014/645145 |
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