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Detail publikace
KŘUPKA, A. PŘINOSIL, J. ŘÍHA, K. MINÁŘ, J. DUTTA, M.
Originální název
Hair Segmentation for Color Estimation in Surveillance Systems
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
The paper proposes a novel method for hair segmentation, that can be used in real-time video surveillance systems or multimedia services. The method utilizes an approach of video subtraction to obtain a person silhouette. Subsequently, the head part can be identified on the silhouette by exploiting information about face position. From the head, the skin is separated using floodfilling procedure and the hair area is determined as the difference between the head and the skin. The precision of the method is evaluated using manually extracted hair masks. The purpose of the segmentation method is to specify a hair area which can be then used for a hair color estimation. Therefore, the usability of the hair segmentation procedure is tested by a proposed scheme of hair color estimation.
Klíčová slova
segmentation, hair, color, face detection, video subtraction, floodfilling
Autoři
KŘUPKA, A.; PŘINOSIL, J.; ŘÍHA, K.; MINÁŘ, J.; DUTTA, M.
Rok RIV
2014
Vydáno
22. 2. 2014
ISBN
978-1-61208-320-9
Kniha
MMEDIA 2014, The Sixth International Conferences on Advances in Multimedia
Strany od
102
Strany do
107
Strany počet
6
URL
http://www.thinkmind.org/index.php?view=article&articleid=mmedia_2014_6_30_50092
BibTex
@inproceedings{BUT106756, author="Aleš {Křupka} and Jiří {Přinosil} and Kamil {Říha} and Jiří {Minář} and Malay Kishore {Dutta}", title="Hair Segmentation for Color Estimation in Surveillance Systems", booktitle="MMEDIA 2014, The Sixth International Conferences on Advances in Multimedia", year="2014", pages="102--107", isbn="978-1-61208-320-9", url="http://www.thinkmind.org/index.php?view=article&articleid=mmedia_2014_6_30_50092" }