Development of a Privacy-Preserving UAV System With Deep Learning-Based Face Anonymization
| Autor: | Hyun Jong Yang, Hyeonsu Lyu, Harim Lee, Yeongjun Kim, Myeung Un Kim |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Scheme (programming language)
security robot General Computer Science Computer science media_common.quotation_subject ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Simultaneous localization and mapping privacy-preserving vision Semantics Masking (Electronic Health Record) Facial recognition system UAV patrol system Human–computer interaction Perception General Materials Science media_common computer.programming_language Privacy infringement business.industry Deep learning General Engineering deep learning TK1-9971 Face (geometry) Artificial intelligence Electrical engineering. Electronics. Nuclear engineering business computer |
| Zdroj: | IEEE Access, Vol 9, Pp 132652-132662 (2021) |
| ISSN: | 2169-3536 |
| Popis: | In this paper, we develop a privacy-preserving UAV system that does not infringe on the privacy of people in the videos taken by UAVs. Instead of blurring or masking the face parts of the videos, we want to exquisitely modify only the face parts so that the people in the modified videos still look like humans, but they become anonymous. Doing so, the semantic information of the videos can be preserved even with the anonymization. Specifically, based on the latest generative adversarial network architecture, we propose a deep learning-based face-anonymization scheme so that each modified face part looks like the face of a person who does not actually exist. The trained face-anonymizer is then mounted on the UAV system we have implemented. Through experiments, we confirm that the developed privacy-preserving UAV system anonymizes UAV’s first-person videos so that the people in the video are not recognized as anyone in the dataset used. In addition, we show that even with such anonymized videos, the perception performance required for performing UAV’s essential functions such as simultaneous localization and mapping is not degraded. |
| Databáze: | OpenAIRE |
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