Shadow Suppression Based on Adaptive Gaussian Mixture Model

DOI

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.

Copyright

© 2012, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yun Liu
AU  - Wen Zhao
PY  - 2012/11
DA  - 2012/11
TI  - Shadow Suppression Based on Adaptive Gaussian Mixture Model
BT  - Proceedings of the 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  - 10.2991/citcs.2012.256
ID  - Liu2012/11
ER  -