Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/30414
Share/Impact:
Título : A framework to integrate particle filters for robust tracking in non-stationary environments
Autor : Moreno Noguer, Francesc, Sanfeliu Cortés, Alberto
Palabras clave : Tracking
Deformable contours
Color adaption
Particle filters
Pattern recognition: Computer vision
Pattern recognition: Object detection
Computer vision
Pattern recognition systems
Fecha de publicación : 2005
Editor: Springer
Citación : 2nd Iberian Conference on Pattern Recognition and Image Analysis: pp. 93-101 (2005)
Resumen: In 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.
Descripción : Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA), 2005, Estoril (Portugal)
URI : http://hdl.handle.net/10261/30414
ISBN : 9783540261544
DOI: http://dx.doi.org/10.1007/11492429_12
Citación : 2nd Iberian Conference on Pattern Recognition and Image Analysis: pp. 93-101 (2005)
Appears in Collections:(IRII) Comunicaciones congresos

Files in This Item:
File Description SizeFormat 
doc1.pdf2,16 MBAdobe PDFView/Open
Show full item record
 
CSIC SFX LinksSFX Query

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