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Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten. Event detection for video surveillance using an expert system
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Postprint urn:nbn:de:0011-n-847390 (396 KByte PDF) MD5 Fingerprint: eb0753481b93dfaea777b70f8b2880c7 Copyright Association for Computing Machinery (ACM) Created on: 27.11.2008 |
| Association for Computing Machinery -ACM-, Special Interest Group on Multimedia -SIGMM-:
1st ACM International Workshop in Analysis and Retrieval of Events/Actions and Workflows in Video Streams, AREA 2008 : October 31, 2008, Vancouver, Canada; In conjunction with ACM Multimedia 2008
New York: ACM, 2008
ISBN: 978-1-60558-318-1
pp.49-55 |
| International Workshop in Analysis and Retrieval of Events/Actions and Workflows in Video Streams (AREA) <1, 2008, Vancouver>
International Conference on Multimedia (MM) <16, 2008, Vancouver> |
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| English |
| Conference Paper, Electronic Publication |
| Fraunhofer IAIS () |
| event detection; video surveillance; expert system |
Abstract
Video Surveillance is in the center of research due to high importance of safety and security issues. Usually, humans have to monitor an area and often they have to do this for 24 hours a day. Thus, it would be desirable to have automatic surveillance systems that support this job automatically. The system described in this paper is such an automatic surveillance system that has been developed to detect several dangerous situations in a subway station. This paper discusses the high-level module of the system. Herein, an expert system is used to detect events.