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Author: Antonio Fernández-Caballero

Affiliation: Universidad de Castilla-La Mancha, Spain

Abstract: Motion information can form the basis of predictions about time-to-impact and the trajectories of objects moving through a scene. Firstly, a model that incorporates accumulative computation and lateral interaction is presented. By means of the lateral interaction in accumulative computation (LIAC) of each element with its neighbours, the model is able to segment moving objects present in an indefinite sequence of images. In a further step, moving objects are tracked using a centroid-based trajectory calculation.

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Paper citation in several formats:
Fernández-Caballero, A. (2005). Motion Direction Detection from Segmentation by LIAC, and Tracking by Centroid Trajectory Calculation. In Proceedings of the 5th International Workshop on Pattern Recognition in Information Systems (ICEIS 2005) - PRIS; ISBN 972-8865-28-7, SciTePress, pages 213-218. DOI: 10.5220/0002570102130218

@conference{pris05,
author={Antonio Fernández{-}Caballero},
title={Motion Direction Detection from Segmentation by LIAC, and Tracking by Centroid Trajectory Calculation},
booktitle={Proceedings of the 5th International Workshop on Pattern Recognition in Information Systems (ICEIS 2005) - PRIS},
year={2005},
pages={213-218},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002570102130218},
isbn={972-8865-28-7},
}

TY - CONF

JO - Proceedings of the 5th International Workshop on Pattern Recognition in Information Systems (ICEIS 2005) - PRIS
TI - Motion Direction Detection from Segmentation by LIAC, and Tracking by Centroid Trajectory Calculation
SN - 972-8865-28-7
AU - Fernández-Caballero, A.
PY - 2005
SP - 213
EP - 218
DO - 10.5220/0002570102130218
PB - SciTePress