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Detail publikace
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" }