| dc.contributor.advisor | Bø, Ketil | nb_NO |
| dc.contributor.author | Aasen, Thomas Aron | nb_NO |
| dc.date.accessioned | 2014-12-19T13:38:15Z | |
| dc.date.available | 2014-12-19T13:38:15Z | |
| dc.date.created | 2012-03-04 | nb_NO |
| dc.date.issued | 2006 | nb_NO |
| dc.identifier | 507359 | nb_NO |
| dc.identifier | ntnudaim:1224 | nb_NO |
| dc.identifier.uri | http://hdl.handle.net/11250/252790 | |
| dc.description.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. | nb_NO |
| dc.language | eng | nb_NO |
| dc.publisher | Institutt for datateknikk og informasjonsvitenskap | nb_NO |
| dc.subject | ntnudaim:1224 | no_NO |
| dc.subject | MTDT datateknikk | no_NO |
| dc.subject | Intelligente systemer | no_NO |
| dc.title | Case Based Surveillance System | nb_NO |
| dc.type | Master thesis | nb_NO |
| dc.source.pagenumber | 79 | nb_NO |
| dc.contributor.department | Norges teknisk-naturvitenskapelige universitet, Fakultet for informasjonsteknologi, matematikk og elektroteknikk, Institutt for datateknikk og informasjonsvitenskap | nb_NO |
