MOTION SEGMENTATION IN SEQUENTIAL IMAGES BASED ON THE DIFFERENTIAL OPTICAL FLOW

Flavio de Barros Vidal, Victor Hugo Casanova Alcalde

Abstract

This work deals with motion detection from image sequences. An algorithm to estimate the optical flow using differential techniques is presented. Noise effects affecting motion detection were taken into account and provisions to minimize it were implemented. The algorithm was developed within the Matlab environment using mex-files to speed up calculations and it was applied to surveillance and urban traffic images. For the considered cases, the results were quite satisfactory.

References

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Paper Citation


in Harvard Style

de Barros Vidal F. and Hugo Casanova Alcalde V. (2005). MOTION SEGMENTATION IN SEQUENTIAL IMAGES BASED ON THE DIFFERENTIAL OPTICAL FLOW . In Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 4: ICINCO, ISBN 972-8865-30-9, pages 94-100. DOI: 10.5220/0001183500940100


in Bibtex Style

@conference{icinco05,
author={Flavio de Barros Vidal and Victor Hugo Casanova Alcalde},
title={MOTION SEGMENTATION IN SEQUENTIAL IMAGES BASED ON THE DIFFERENTIAL OPTICAL FLOW},
booktitle={Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 4: ICINCO,},
year={2005},
pages={94-100},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001183500940100},
isbn={972-8865-30-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 4: ICINCO,
TI - MOTION SEGMENTATION IN SEQUENTIAL IMAGES BASED ON THE DIFFERENTIAL OPTICAL FLOW
SN - 972-8865-30-9
AU - de Barros Vidal F.
AU - Hugo Casanova Alcalde V.
PY - 2005
SP - 94
EP - 100
DO - 10.5220/0001183500940100