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PŘINOSIL, J. KŘUPKA, A. ŘÍHA, K. DUTTA, M. SINGH, A.
Original Title
Automatic Hair Color De-identification
Type
conference paper
Language
English
Original Abstract
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.
Keywords
soft biometrics; hair detection; hair color recognition; de-identification
Authors
PŘINOSIL, J.; KŘUPKA, A.; ŘÍHA, K.; DUTTA, M.; SINGH, A.
RIV year
2015
Released
8. 10. 2015
ISBN
978-1-4673-7909-0
Book
ICGCIoT - International CConference of Green Computing and Internet of Things 2015
Pages from
732
Pages to
736
Pages count
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" }