Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Improving video segmentation algorithms by detection of and adaption to altered illumination

Lindström, Johan LU orcid ; Lindgren, Finn LU ; Holst, Ulla LU and Åström, Karl LU orcid (2008) In Preprints in Mathematical Sciences 2008:9.
Abstract
Changing illumination constitutes a serious challenge for video segmentation

algorithms, especially in outdoor scenes under cloudy conditions.

Rapid illumination changes, e.g. caused by varying cloud cover,

often cause existing segmentation algorithms to erroneously classify

large parts of the image as foreground.

Here a method that extends existing segmentation algorithms by

detecting illumination changes using a CUSUM detector and adjusting

the background model to conform with the new illumination is

presented. The method is shown to work for two segmentation algorithms,

and it is indicated how the method could be extended to other

algorithms.
Please use this url to cite or link to this publication:
author
; ; and
organization
publishing date
type
Contribution to journal
publication status
unpublished
subject
in
Preprints in Mathematical Sciences
volume
2008:9
pages
20 pages
publisher
Lund University
external identifiers
  • other:LUTFMS-5075-2008
ISSN
1403-9338
project
Spatio-Temporal Estimation for Mixture Models and Gaussian Markov Random Fields - Applications to Video Analysis and Environmental Modelling
language
English
LU publication?
yes
id
a92d82ee-28cb-4371-a1ab-f0c4d1ed587c (old id 4730167)
date added to LUP
2016-04-01 14:50:51
date last changed
2018-11-21 20:30:44
@article{a92d82ee-28cb-4371-a1ab-f0c4d1ed587c,
  abstract     = {{Changing illumination constitutes a serious challenge for video segmentation<br/><br>
algorithms, especially in outdoor scenes under cloudy conditions.<br/><br>
Rapid illumination changes, e.g. caused by varying cloud cover,<br/><br>
often cause existing segmentation algorithms to erroneously classify<br/><br>
large parts of the image as foreground.<br/><br>
Here a method that extends existing segmentation algorithms by<br/><br>
detecting illumination changes using a CUSUM detector and adjusting<br/><br>
the background model to conform with the new illumination is<br/><br>
presented. The method is shown to work for two segmentation algorithms,<br/><br>
and it is indicated how the method could be extended to other<br/><br>
algorithms.}},
  author       = {{Lindström, Johan and Lindgren, Finn and Holst, Ulla and Åström, Karl}},
  issn         = {{1403-9338}},
  language     = {{eng}},
  publisher    = {{Lund University}},
  series       = {{Preprints in Mathematical Sciences}},
  title        = {{Improving video segmentation algorithms by detection of and adaption to altered illumination}},
  url          = {{https://lup.lub.lu.se/search/files/4197794/4730169.pdf}},
  volume       = {{2008:9}},
  year         = {{2008}},
}