Mutliple camera coordination in a surveillance system
In this paper, we present a distributed surveillance system that uses multiple cheap static cameras to track multiple people in indoor environments. The system has a set of Camera Processing Modules and a Central Module to coordinate the tracking tasks among the cameras. Since each object in the sce...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Published: |
Science Press
2003
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| Online Access: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.116.1158 http://hdl.handle.net/20.500.11937/11948 |
| _version_ | 1848747941474336768 |
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| author | Nguyen, Nam Bui, Hung H. Venkatesh, Svetha West, Geoffrey |
| author_facet | Nguyen, Nam Bui, Hung H. Venkatesh, Svetha West, Geoffrey |
| author_sort | Nguyen, Nam |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | In this paper, we present a distributed surveillance system that uses multiple cheap static cameras to track multiple people in indoor environments. The system has a set of Camera Processing Modules and a Central Module to coordinate the tracking tasks among the cameras. Since each object in the scene can be tracked by a number of cameras, the problem is how to choose the most appropriate camera for each object. This is important given the need to deal with limited resources (CPU, power etc.). We propose a novel algorithm to allocate objects to cameras using the object-to-camera distance while taking into account occlusion. The algorithm attempts to assign objects in the overlapping field of views to the nearest camera which can see the object without occlusion. Experimental results show that the system can coordinate cameras to track people properly and can deal well with occlusion. |
| first_indexed | 2025-11-14T06:57:09Z |
| format | Journal Article |
| id | curtin-20.500.11937-11948 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:57:09Z |
| publishDate | 2003 |
| publisher | Science Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-119482019-02-19T04:26:59Z Mutliple camera coordination in a surveillance system Nguyen, Nam Bui, Hung H. Venkatesh, Svetha West, Geoffrey In this paper, we present a distributed surveillance system that uses multiple cheap static cameras to track multiple people in indoor environments. The system has a set of Camera Processing Modules and a Central Module to coordinate the tracking tasks among the cameras. Since each object in the scene can be tracked by a number of cameras, the problem is how to choose the most appropriate camera for each object. This is important given the need to deal with limited resources (CPU, power etc.). We propose a novel algorithm to allocate objects to cameras using the object-to-camera distance while taking into account occlusion. The algorithm attempts to assign objects in the overlapping field of views to the nearest camera which can see the object without occlusion. Experimental results show that the system can coordinate cameras to track people properly and can deal well with occlusion. 2003 Journal Article http://hdl.handle.net/20.500.11937/11948 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.116.1158 Science Press restricted |
| spellingShingle | Nguyen, Nam Bui, Hung H. Venkatesh, Svetha West, Geoffrey Mutliple camera coordination in a surveillance system |
| title | Mutliple camera coordination in a surveillance system |
| title_full | Mutliple camera coordination in a surveillance system |
| title_fullStr | Mutliple camera coordination in a surveillance system |
| title_full_unstemmed | Mutliple camera coordination in a surveillance system |
| title_short | Mutliple camera coordination in a surveillance system |
| title_sort | mutliple camera coordination in a surveillance system |
| url | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.116.1158 http://hdl.handle.net/20.500.11937/11948 |