Digital.CSIC > Ciencia y Tecnologías Físicas > Instituto de Robótica e Informática Industrial (IRII) > (IRII) Libros y partes de libros >




Open Access item Combining color-based invariant gradient detector with HoG descriptors for robust image detection in scenes under cast shadows

Authors:Villamizar, Michael
Scandaliaris, Jorge
Sanfeliu, Alberto
Andrade-Cetto, J.
Keywords:Computer vision
Issue Date:2009
Publisher:Institute of Electrical and Electronics Engineers
Citation:IEEE International Conference on Robotics and Automation: 1997-2002 (2009)
Abstract:In this work we present a robust detection method in outdoor scenes under cast shadows using color based invariant gradients in combination with HoG local features. The method achieves good detection rates in urban scene classification and person detection outperforming traditional methods based on intensity gradient detectors which are sensible to illumination variations but not to cast shadows. The method uses color based invariant gradients that emphasize material changes and extract relevant and invariant features for detection while neglecting shadow contours. This method allows to train and detect objects and scenes independently of scene illumination, cast and self shadows. Moreover, it allows to do training in one shot, that is, when the robot visits the scene for the first time.
Description:Trabajo presentado al ICRA 2009 celebrado en Kobe (Japón) del 12 al 17 de mayo.
Publisher version (URL):http://dx.doi.org/10.1109/ROBOT.2009.5152429
Appears in Collections:(IRII) Libros y partes de libros

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.