Detail publikace

Hair Segmentation for Color Estimation in Surveillance Systems

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

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"
}