Tracking-Based Non-Parametric Background-Foreground Classification in a Chromaticity-Gradient Space

García Santos, Narciso and Cuevas Rodríguez, Carlos (2010). Tracking-Based Non-Parametric Background-Foreground Classification in a Chromaticity-Gradient Space. In: "IEEE 17th International Conference on Image Processing ICIP 2010", 26/09/2010 - 29/09/2010, Hong Kong, China. ISBN 978-1-4244-7992-4.

Description

Title: Tracking-Based Non-Parametric Background-Foreground Classification in a Chromaticity-Gradient Space
Author/s:
  • García Santos, Narciso
  • Cuevas Rodríguez, Carlos
Item Type: Presentation at Congress or Conference (Article)
Event Title: IEEE 17th International Conference on Image Processing ICIP 2010
Event Dates: 26/09/2010 - 29/09/2010
Event Location: Hong Kong, China
Title of Book: Proceedings of the IEEE 17th International Conference on Image Processing ICIP 2010
Date: December 2010
ISBN: 978-1-4244-7992-4
Subjects:
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Señales, Sistemas y Radiocomunicaciones
Creative Commons Licenses: Recognition - No derivative works - Non commercial

Full text

[img]
Preview
PDF - Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (845kB) | Preview

Abstract

This work presents a novel background-foreground classification technique based on adaptive non-parametric kernel estimation in a color-gradient space of components. By combining normalized color components with their gradients, shadows are efficiently suppressed from the results, while the luminance information in the moving objects is preserved. Moreover, a fast multi-region iterative tracking strategy applied over previously detected foreground regions allows to construct a robust foreground modeling, which combined with the background model increases noticeably the quality in the detections. The proposed strategy has been applied to different kind of sequences, obtaining satisfactory results in complex situations such as those given by dynamic backgrounds, illumination changes, shadows and multiple moving objects.

More information

Item ID: 9229
DC Identifier: http://oa.upm.es/9229/
OAI Identifier: oai:oa.upm.es:9229
Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5653489
Deposited by: Memoria Investigacion
Deposited on: 17 Oct 2011 09:54
Last Modified: 20 Apr 2016 17:44
  • Logo InvestigaM (UPM)
  • Logo GEOUP4
  • Logo Open Access
  • Open Access
  • Logo Sherpa/Romeo
    Check whether the anglo-saxon journal in which you have published an article allows you to also publish it under open access.
  • Logo Dulcinea
    Check whether the spanish journal in which you have published an article allows you to also publish it under open access.
  • Logo de Recolecta
  • Logo del Observatorio I+D+i UPM
  • Logo de OpenCourseWare UPM