A region based approach to background modeling in a wavelet multi-resolution framework

Mendizábal Vicente, Ainhoa and Salgado Álvarez de Sotomayor, Luis (2011). A region based approach to background modeling in a wavelet multi-resolution framework. In: "2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)", 22/05/2011 - 27/05/2011, Praga, Republica Checa. ISBN 978-1-4577-0538-0. pp. 929-932. https://doi.org/10.1109/ICASSP.2011.5946557.

Description

Title: A region based approach to background modeling in a wavelet multi-resolution framework
Author/s:
  • Mendizábal Vicente, Ainhoa
  • Salgado Álvarez de Sotomayor, Luis
Item Type: Presentation at Congress or Conference (Article)
Event Title: 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Event Dates: 22/05/2011 - 27/05/2011
Event Location: Praga, Republica Checa
Title of Book: Proceedings of 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Date: 2011
ISBN: 978-1-4577-0538-0
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 (348kB) | Preview

Abstract

In the field of detection and monitoring of dynamic objects in quasi-static scenes, background subtraction techniques where background is modeled at pixel-level, although showing very significant limitations, are extensively used. In this work we propose a novel approach to background modeling that operates at region-level in a wavelet based multi-resolution framework. Based on a segmentation of the background, characterization is made for each region independently as a mixture of K Gaussian modes, considering the model of the approximation and detail coefficients at the different wavelet decomposition levels. Background region characterization is updated along time, and the detection of elements of interest is carried out computing the distance between background region models and those of each incoming image in the sequence. The inclusion of the context in the modeling scheme through each region characterization makes the model robust, being able to support not only gradual illumination and long-term changes, but also sudden illumination changes and the presence of strong shadows in the scene

More information

Item ID: 13466
DC Identifier: http://oa.upm.es/13466/
OAI Identifier: oai:oa.upm.es:13466
DOI: 10.1109/ICASSP.2011.5946557
Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5946557
Deposited by: Memoria Investigacion
Deposited on: 22 Nov 2012 12:45
Last Modified: 21 Apr 2016 12:46
  • 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