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Event detection for video surveillance using an expert system
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International Multimedia Conference archive
Proceeding of the 1st ACM workshop on Analysis and retrieval of events/actions and workflows in video streams table of contents
Vancouver, British Columbia, Canada
SESSION: Detection of events in videos table of contents
Pages 49-56  
Year of Publication: 2008
ISBN:978-1-60558-318-1
Authors
Barbara Krausz  Fraunhofer IAIS, Sankt Augustin, Germany
Rainer Herpers  FH Bonn-Rhein-Sieg, Sankt Augustin, Germany
Sponsors
SIGMULTIMEDIA: ACM Special Interest Group on Multimedia
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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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.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Barbara Krausz: colleagues
Rainer Herpers: colleagues