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Cite Details

Paul Rodríguez and Brendt Wohlberg, "Video Background Modeling under Impulse Noise", in Proceedings of IEEE International Conference on Image Processing (ICIP), (Paris, France), doi:10.1109/ICIP.2014.7025207, pp. 1041--1045, Oct 2014

Abstract

Video background modeling is an important task in many video processing applications. Most existing algorithms assume a Gaussian noise model, but digital videos are, in practice, prone to be degraded by impulse noise, due to transmission errors in wireless or high data-rate wired channels. Principal Component Pursuit (PCP), which also assumes a Gaussian noise model, is currently considered the state of the art for video background modeling. We propose a new PCP-based algorithm that fully integrates the impulse noise model and has computational performance comparable with that of current PCP implementations.

BibTeX Entry

@inproceedings{rodriguez-2014-video,
author = {Paul Rodr\'{i}guez and Brendt Wohlberg},
title = {Video Background Modeling under Impulse Noise},
year = {2014},
month = Oct,
urlpdf = {http://math.lanl.gov/~brendt/Publications/Docs/rodriguez-2014-video.pdf},
booktitle = {Proceedings of IEEE International Conference on Image Processing (ICIP)},
address = {Paris, France},
doi = {10.1109/ICIP.2014.7025207},
pages = {1041--1045}
}