Por favor, use este identificador para citar o enlazar a este item:
http://hdl.handle.net/10261/30168
COMPARTIR / EXPORTAR:
SHARE BASE | |
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE | |
Título: | Discriminant and invariant color model for tracking under abrupt illumination changes |
Autor: | Scandaliaris, Jorge CSIC; Sanfeliu, Alberto CSIC ORCID | Palabras clave: | Computer vision Invariant color model Tracking Shadows Pattern recognition Pattern recognition systems |
Fecha de publicación: | 2010 | Citación: | 20th International Conference on Pattern Recognition: 1840-1843 (2010) | Resumen: | The output from a color imaging sensor, or apparent color, can change considerably due to illumination conditions and scene geometry changes. In this work we take into account the dependence of apparent color with illumination an attempt to find appropriate color models for the typical conditions found in outdoor settings. We evaluate three color based trackers, one based on hue, another based on an intrinsic image representation and the last one based on a proposed combination of a chromaticity model with a physically reasoned adaptation of the target model. The evaluation is done on outdoor sequences with challenging illumination conditions, and shows that the proposed method improves the average track completeness by over 22% over the hue-based tracker and the closeness of track by over 7% over the tracker based on the intrinsic image representation. | Descripción: | Trabajo presentado al ICPR 2010 celebrado en Estambul (Turquía) del 23 al 26 de agosto. | Versión del editor: | http://dx.doi.org/10.1109/ICPR.2010.454 | URI: | http://hdl.handle.net/10261/30168 | DOI: | 10.1109/ICPR.2010.454 | ISBN: | 978-1-4244-7542-1 |
Aparece en las colecciones: | (IRII) Libros y partes de libros |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
---|---|---|---|---|
Discriminant and invariant color.pdf | 1,48 MB | Adobe PDF | Visualizar/Abrir |
CORE Recommender
Page view(s)
617
checked on 24-abr-2024
Download(s)
194
checked on 24-abr-2024
Google ScholarTM
Check
Altmetric
Altmetric
NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.