Detail publikace

Automatic Hair Color De-identification

PŘINOSIL, J. KŘUPKA, A. ŘÍHA, K. DUTTA, M. SINGH, A.

Originální název

Automatic Hair Color De-identification

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

A process of de-identification used for privacy protection in multimedia content should be applied not only for primary biometric traits (face, voice) but for soft biometric traits as well. This paper deals with a proposal of the automatic hair color de-identification method working with video records with frontal facial view. The proposed method allows mutual conversion of hair color between five basic colors (black, brown, blonde, red, grey/white). The method involves image hair area segmentation, which is based on motion estimation, face and facial features detecting and skin segmentation. Further basic hair color recognition is performed to estimate appropriate algorithm for modification of the hair color achieving real-looking de-identified images.

Klíčová slova

soft biometrics; hair detection; hair color recognition; de-identification

Autoři

PŘINOSIL, J.; KŘUPKA, A.; ŘÍHA, K.; DUTTA, M.; SINGH, A.

Rok RIV

2015

Vydáno

8. 10. 2015

ISBN

978-1-4673-7909-0

Kniha

ICGCIoT - International CConference of Green Computing and Internet of Things 2015

Strany od

732

Strany do

736

Strany počet

5

URL

https://ieeexplore.ieee.org/document/7380559?section=abstract

BibTex

@inproceedings{BUT117888,
  author="Jiří {Přinosil} and Aleš {Křupka} and Kamil {Říha} and Malay Kishore {Dutta} and Anushikha {Singh}",
  title="Automatic Hair Color De-identification",
  booktitle="ICGCIoT - International CConference of Green Computing and Internet of Things 2015",
  year="2015",
  pages="732--736",
  doi="10.1109/ICGCIoT.2015.7380559",
  isbn="978-1-4673-7909-0",
  url="https://ieeexplore.ieee.org/document/7380559?section=abstract"
}