Distributed Query Processing for Mobile Surveillance
Addressing core issues in mobile surveillance, we present an architecture for querying and retrieving distributed, semi-permanent multi-modal data through challenged networks with limited connectivity. The system provides a rich set of queries for spatio-temporal querying in a surveillance context,...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Conference Paper |
| Published: |
Association for Computing Machinery, Inc. (ACM)
2007
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| Online Access: | http://hdl.handle.net/20.500.11937/15551 |
| _version_ | 1848748923891482624 |
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| author | Greenhill, Stewart Venkatesh, Svetha |
| author2 | Association for Computing Machinery, Inc. (ACM) |
| author_facet | Association for Computing Machinery, Inc. (ACM) Greenhill, Stewart Venkatesh, Svetha |
| author_sort | Greenhill, Stewart |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Addressing core issues in mobile surveillance, we present an architecture for querying and retrieving distributed, semi-permanent multi-modal data through challenged networks with limited connectivity. The system provides a rich set of queries for spatio-temporal querying in a surveillance context, and uses the network availability to provide best quality of service. It incrementally and adaptively refines the query, using data already retrieved that exists on static platforms and on-demand data that it requests from mobile platforms. We demonstrate the system using a real surveillance system on a mobile 20 bus transport network coupled with static bus depot infrastructure. In addition, we show the robustness of the system in handling different conditions in the underlying infrastructure by running simulations on a real, but historic dataset collected in an offline manner. |
| first_indexed | 2025-11-14T07:12:46Z |
| format | Conference Paper |
| id | curtin-20.500.11937-15551 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:12:46Z |
| publishDate | 2007 |
| publisher | Association for Computing Machinery, Inc. (ACM) |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-155512017-09-13T13:41:03Z Distributed Query Processing for Mobile Surveillance Greenhill, Stewart Venkatesh, Svetha Association for Computing Machinery, Inc. (ACM) Addressing core issues in mobile surveillance, we present an architecture for querying and retrieving distributed, semi-permanent multi-modal data through challenged networks with limited connectivity. The system provides a rich set of queries for spatio-temporal querying in a surveillance context, and uses the network availability to provide best quality of service. It incrementally and adaptively refines the query, using data already retrieved that exists on static platforms and on-demand data that it requests from mobile platforms. We demonstrate the system using a real surveillance system on a mobile 20 bus transport network coupled with static bus depot infrastructure. In addition, we show the robustness of the system in handling different conditions in the underlying infrastructure by running simulations on a real, but historic dataset collected in an offline manner. 2007 Conference Paper http://hdl.handle.net/20.500.11937/15551 10.1145/1291233.1291331 Association for Computing Machinery, Inc. (ACM) restricted |
| spellingShingle | Greenhill, Stewart Venkatesh, Svetha Distributed Query Processing for Mobile Surveillance |
| title | Distributed Query Processing for Mobile Surveillance |
| title_full | Distributed Query Processing for Mobile Surveillance |
| title_fullStr | Distributed Query Processing for Mobile Surveillance |
| title_full_unstemmed | Distributed Query Processing for Mobile Surveillance |
| title_short | Distributed Query Processing for Mobile Surveillance |
| title_sort | distributed query processing for mobile surveillance |
| url | http://hdl.handle.net/20.500.11937/15551 |