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Abstract
In recent years, increasingly complex algorithms for automated analysis of surveillance data are being developed. The rapid growth in the number of monitoring installations and higher expectations of the quality parameters of the captured data result in an enormous computational cost of analyzing the massive volume of data. In this paper a new model of online processing of surveillance data streams is proposed, which assumes the use of services running within a supercomputer platform. The study presents some of the highly parallelized algorithms for detecting safety-threatening events in high-resolution- video streams, which were developed during the research, and discusses their performance on the supercomputer platform.
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- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.1016/j.ins.2014.11.013
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- Category:
- Articles
- Type:
- artykuł w czasopiśmie wyróżnionym w JCR
- Published in:
-
INFORMATION SCIENCES
no. 296,
pages 322 - 344,
ISSN: 0020-0255 - Language:
- English
- Publication year:
- 2015
- Bibliographic description:
- Czyżewski A., Bratoszewski P., Ciarkowski A., Cichowski J., Lisowski K., Szczodrak M., Szwoch G., Krawczyk H.: Massive surveillance data processing with supercomputing cluster// INFORMATION SCIENCES. -Vol. 296, (2015), s.322-344
- DOI:
- Digital Object Identifier (open in new tab) 10.1016/j.ins.2014.11.013
- Verified by:
- Gdańsk University of Technology
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