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Case Based Surveillance System

Aasen, Thomas Aron
Master thesis
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URI
http://hdl.handle.net/11250/252790
Date
2006
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  • Institutt for datateknologi og informatikk [4887]
Abstract
Many problems in the field of automatic video surveillance exists today. Some have yet to be overcome. One of these problems is how a computer system automatically can determine if a situation should cause an alarm or not. To resolve this problem, the use of Case-based reasoning (CBR) is proposed. CBR is a technique that allows a system to reason about different situations and to learn from them. The aim is to produce a system that utilizes these abilities. The system should learn to recognize the situations that causes different alarms. When a situation is recognized and categorized, these false alarms can be completely avoided. This master thesis explains and shows the advantages of using such a system together with advanced image processing techniques.
Publisher
Institutt for datateknikk og informasjonsvitenskap

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