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Investigations in Tracking and Colour Classification
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, The Institute of Technology.
1998 (English)Independent thesis Advanced level (degree of Master (One Year)), 20 credits / 30 HE creditsStudent thesisAlternative title
Undersökningar inom följning och färgklassificering (Swedish)
Abstract [en]

In this report, mainly three different problems are considered. The first problem considered is how to filter position data of vehicles. To do so the vehicles have to be tracked. This is done with Kalman filters. The second problem considered is how to control a camera to keep a vehicle in the center of the image, under three different conditions. This is mainly solved with a Kalman filter. The last problem considered is how to use the color of the vehicles to make classification of them more robust. Some suggestions on how this might be done are given. However, no really good method to do this has been found.

Abstract [sv]

Den här rapporten behandlar huvudsakligen tre olika problem. Det första problemet är hur man ska filtrera fordons positions data. För att göra detta måste fordonen följas. Detta är gjort med ett Kalmanfilter. Det andra problemet var att styra en kamera så att ett givet fordon ligger mitt i bild, tre olika förhallånde har betraktats. Detta löstes huvudsakligen med ett Kalmanfilter. Det sista problemet var hur man ska använda fordonens färg så att man får säkrare klassificering av dem. Några förslag på hur detta kan göras ges, men ingen riktigt bra metod har hittats.

Place, publisher, year, edition, pages
1998. , 52 p.
LiTH-ISY-Ex, 1967
Keyword [en]
Position filtering, Kalman filter, colour classification
Keyword [sv]
Positions filtrering, KalmanfiIter, färgklassificering
National Category
Engineering and Technology
URN: urn:nbn:se:liu:diva-77994OAI: diva2:530596
Subject / course
Computer Vision Laboratory
Available from: 2012-06-04 Created: 2012-06-04 Last updated: 2012-06-12Bibliographically approved

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