Proceedings of the 2012 National Conference on Information Technology and Computer Science

Shadow Suppression Based on Adaptive Gaussian Mixture Model

Authors
Yun Liu, Wen Zhao
Corresponding Author
Yun Liu
Available Online November 2012.
DOI
https://doi.org/10.2991/citcs.2012.256How to use a DOI?
Keywords
HSV color space; Gaussian mixture model; morphological; shadow; image gradient
Abstract
According to the HSV color space characteristics , changes the modeling space in the process of Gaussian mixture model, based on the setting of each component, deals with shadow casted by using the Gaussian mixture model algorithm detecting the moving objects. Morphological operators are used to compensate edge detail information and to remove the noise. Finally, using the similarity of gray density, texture value and the gradient value, a good result can be obtained. The experimental result showed that this method can effectively solve the shadow and have good real-time performance and robustness.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
2012 National Conference on Information Technology and Computer Science
Part of series
Advances in Intelligent Systems Research
Publication Date
November 2012
ISBN
978-94-91216-39-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/citcs.2012.256How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yun Liu
AU  - Wen Zhao
PY  - 2012/11
DA  - 2012/11
TI  - Shadow Suppression Based on Adaptive Gaussian Mixture Model
BT  - 2012 National Conference on Information Technology and Computer Science
PB  - Atlantis Press
SP  - 1007
EP  - 1010
SN  - 1951-6851
UR  - https://doi.org/10.2991/citcs.2012.256
DO  - https://doi.org/10.2991/citcs.2012.256
ID  - Liu2012/11
ER  -