English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/30414
logo share SHARE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:


A framework to integrate particle filters for robust tracking in non-stationary environments

AuthorsMoreno-Noguer, Francesc ; Sanfeliu, Alberto
Deformable contours
Color adaption
Particle filters
Pattern recognition: Computer vision
Pattern recognition: Object detection
Computer vision
Pattern recognition systems
Issue Date2005
Citation2nd Iberian Conference on Pattern Recognition and Image Analysis: pp. 93-101 (2005)
AbstractIn this paper we propose a new framework to integrate several particle filters, in order to obtain a robust tracking system able to cope with abrupt changes of illumination and position of the target. The proposed method is analytically justified and allows to build a tracking procedure that adapts online and simultaneously the colorspace where the image points are represented, the color distributions of the object and background and the contour of the object.
DescriptionIberian Conference on Pattern Recognition and Image Analysis (IbPRIA), 2005, Estoril (Portugal)
Appears in Collections:(IRII) Comunicaciones congresos
Files in This Item:
File Description SizeFormat 
doc1.pdf2,16 MBAdobe PDFThumbnail
Show full item record
Review this work

WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.