Naslov
Face, hairstyle and clothing colour de- identification in video sequences

Autori
Brkić, Karla ; Hrkać, Tomislav ; Kalafatić, Zoran ; Sikirić, Ivan

Izvornik
IET signal processing (1751-9675) 11 (2017), 9; 1062-1068

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
computer vision ; de-identification

Sažetak
The authors introduce a system for person de- identification in video data that de-identifies biometric and non-biometric features, namely faces, hairstyles and clothing colours. The authors’ system detects human faces and silhouettes in the input video and replaces the detected faces with random synthesised faces obtained using a deep convolutional generative adversarial network. Alternative hairstyles are rendered over the synthesised faces, and the human silhouette is recoloured so that skin hues are preserved and clothing hues are altered. Through the use of artificially synthesised faces that look realistic, they ensure that the de- identified image looks natural and at the same time avoid ethical and legal considerations present when using real face images as replacement faces. As they address non- biometric feature de- identification, their system offers a considerably higher level of privacy protection than commonly employed solutions that use simple image processing techniques such as blurring. Qualitative and quantitative evaluation suggests that their system produces de-identified images that look natural, at the same time being resistant to re-identification attacks.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

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