Name
Abstract | ||
|---|---|---|
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 hairs... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1049/iet-spr.2017.0048 | IET Signal Processing |
Keywords | Field | DocType |
data privacy,face recognition,feature extraction,feedforward neural nets,image colour analysis,image sequences,video signal processing | Computer vision,Mathematical optimization,Generative adversarial network,De-identification,Silhouette,Hue,Image processing,Clothing,Artificial intelligence,Biometrics,Mathematics | Journal |
Volume | Issue | ISSN |
11 | 9 | 1751-9675 |
Citations | PageRank | References |
1 | 0.36 | 16 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Karla Brkić | 1 | 86 | 10.36 |
| Tomislav Hrkac | 2 | 45 | 4.43 |
| zoran kalafatic | 3 | 67 | 9.28 |
| Ivan Sikirić | 4 | 17 | 3.08 |