A REGION BASED APPROACH TO BACKGROUND MODELING IN A WAVELET MULTI-RESOLUTION FRAMEWORK

Video Analysis and Processing

Přednášející: Ainhoa Mendizabal, Autoři: Ainhoa Mendizabal, Luis Salgado, Universidad Politécnica de Madrid, Spain

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.

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http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5946557

Informace o přednášce

Nahráno:	2011-05-26 17:55 - 18:15, Club A
Přidáno:	15. 6. 2011 00:01
Počet zhlédnutí:	23
Rozlišení videa:	1024x576 px, 512x288 px
Délka videa:	0:19:58
Audio stopa:	MP3 [6.75 MB], 0:19:58