Multi-resolution illumination compensation for foreground extraction

Authors:
Xavier Suau;Josep R. Casas;Javier Ruiz-Hidalgo
Affiliations:
Signal Theory and Communications Department, Technical University of Catalonia, Barcelona;Signal Theory and Communications Department, Technical University of Catalonia, Barcelona;Signal Theory and Communications Department, Technical University of Catalonia, Barcelona
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

Citing 2
Cited 1

A Variational Framework for Retinex

International Journal of Computer Vision
Multiplicative Background-Foreground Estimation Under Uncontrolled Illumination using Intrinsic Images

WACV-MOTION '05 Proceedings of the IEEE Workshop on Motion and Video Computing (WACV/MOTION'05) - Volume 2 - Volume 02

Bigbackground-based illumination compensation for surveillance video

Journal on Image and Video Processing - Special issue on advanced video-based surveillance

Quantified Score

Hi-index	0.00

Visualization

Abstract

Illumination changes may lead to false foreground (FG) segmentation and tracking results. Most of the existing FG extraction algorithms obtain a background (BG) estimation from temporal statistical parameters. Such algorithms consider a quasi-static BG which does not change but slowly. Therefore, fast illumination changes are not taken into account by the BG estimator and they are considered as FG. The aim of the proposed algorithm is to reduce illumination effects in video sequences in order to improve foreground segmentation performances.