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Abstract
In this paper, we present a video monitoring systemthat leverages image recognition and ontological reasoningabout threats. In the solution, an image processing subsystemuses video recording of a monitored area and recognizesknown concepts in scenes. Then, a reasoning subsystem uses anontological description of security conditions and informationfrom image recognition to check if a violation of a conditionhas occurred. If a threat is detected, the system sends anappropriate notification depending on configuration. A prototypicalimplementation of the solution is presented togetherwith exemplary monitoring results.
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- Category:
- Conference activity
- Type:
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Title of issue:
- HSI'09, 2nd International Conference on Human System Interaction, Catania, Italy, May 21-23 2009 strony 28 - 31
- Language:
- English
- Publication year:
- 2009
- Bibliographic description:
- Kaczmarek P., Zielonka P.: A video monitoring system using ontology-driven identification of threats// HSI'09, 2nd International Conference on Human System Interaction, Catania, Italy, May 21-23 2009/ ed. [eds.] Lucia Lo Bello , Giancarlo Iannizzotto. Włochy, Univ. of Catania: , 2009, s.28-31
- DOI:
- Digital Object Identifier (open in new tab) 10.1109/hsi.2009.5090948
- Verified by:
- Gdańsk University of Technology
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