Case Based Surveillance System
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.
Place, publisher, year, edition, pages
Institutt for datateknikk og informasjonsvitenskap , 2006. , 79 p.
ntnudaim:1224, MTDT datateknikk, Intelligente systemer
IdentifiersURN: urn:nbn:no:ntnu:diva-15843Local ID: ntnudaim:1224OAI: oai:DiVA.org:ntnu-15843DiVA: diva2:507359
Bø, Ketil, Førsteamanuensis II