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- W2469932166 abstract "The article presents an algorithm that allows for automatic detection of rectangular masks of human silhouettes that are in the foreground (significant silhouettes) in colour images with complex backgrounds. A very important element of the algorithm was elimination of faces and silhouettes in the background. Typical solutions presented in the literature are based on two approaches of silhouette localization. The first group of methods is based on initial background suppression, which allows for silhouette extraction. The second group of methods is related to direct silhouette localization. According to assumptions the method based on localization of individual silhouette elements has been used. The face, head and torso have been selected as essential silhouette elements and face localization has been used as the main algorithm block. The method presented in the article provides 79 % effectiveness of silhouette localization in different image collections taking into account elimination of silhouettes in the background." @default.
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- W2469932166 date "2016-01-01" @default.
- W2469932166 modified "2023-09-25" @default.
- W2469932166 title "Face Localization Algorithms as Element of Silhouette Localization Process" @default.
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- W2469932166 doi "https://doi.org/10.1007/978-3-319-39796-2_5" @default.
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