Shadow Suppression Based on Adaptive Gaussian Mixture Model
Yun Liu, Wen Zhao
Available Online November 2012.
- https://doi.org/10.2991/citcs.2012.256How to use a DOI?
- HSV color space; Gaussian mixture model; morphological; shadow; image gradient
- 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.
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 -