Sciweavers

Share
ICASSP
2011
IEEE

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

11 years 1 days ago
A region based approach to background modeling in a wavelet multi-resolution framework
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 illumina...
Ainhoa Mendizabal, Luis Salgado
Added 20 Aug 2011
Updated 20 Aug 2011
Type Journal
Year 2011
Where ICASSP
Authors Ainhoa Mendizabal, Luis Salgado
Comments (0)
books