DIFFERENNTIAL TECHNIQUE FOR MOTION COMPUTATION USING COLOUR INFORMATION

T. Bouden, N. Doghmane

Abstract

Optical flow computation is an important and challenging problem in the motion analysis of images sequence. It is a difficult and computationally expensive task and is an ill-posed problem, which expresses itself as the aperture problem. However, optical flow vectors or motion can be estimated by differential techniques using regularization methods; in which additional constraints functions are introduced. In this work we propose to improve differential methods for optical flow estimation by including colour information as constraints functions in the optimization process using a simple matrix inversion. The proposed technique has shown encouraging results.

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Paper Citation


in Harvard Style

Bouden T. and Doghmane N. (2007). DIFFERENNTIAL TECHNIQUE FOR MOTION COMPUTATION USING COLOUR INFORMATION . In Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, ISBN 978-972-8865-74-0, pages 531-537. DOI: 10.5220/0002054605310537


in Bibtex Style

@conference{visapp07,
author={T. Bouden and N. Doghmane},
title={DIFFERENNTIAL TECHNIQUE FOR MOTION COMPUTATION USING COLOUR INFORMATION},
booktitle={Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,},
year={2007},
pages={531-537},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002054605310537},
isbn={978-972-8865-74-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,
TI - DIFFERENNTIAL TECHNIQUE FOR MOTION COMPUTATION USING COLOUR INFORMATION
SN - 978-972-8865-74-0
AU - Bouden T.
AU - Doghmane N.
PY - 2007
SP - 531
EP - 537
DO - 10.5220/0002054605310537