This paper reviews the state of the art in visual privacy protection techniques, with particular attention paid to techniques applicable to the field of active and assisted living (AAL). A novel taxonomy with which state-of-the-art visual privacy protection methods can be classified is introduced. Perceptual obfuscation methods, a category in the taxonomy, is highlighted. These are a category of visual privacy preservation techniques particularly relevant when considering scenarios that come under video-based AAL monitoring. Obfuscation against machine learning models is also explored. A high-level classification scheme of the different levels of privacy by design is connected to the proposed taxonomy of visual privacy preservation techniques. Finally, we note open questions that exist in the field and introduce the reader to some exciting avenues for future research in the area of visual privacy.
翻译:本文回顾了视觉隐私保护技术的先进程度,特别注意适用于主动和辅助生活领域的技术(AAL)。采用了一种新型分类法,可以对最新的视觉隐私保护方法进行分类。突出介绍了视觉隐私保护方法这一分类法中的一个类别。这些是视觉隐私保护技术的一个类别,在考虑视频AAL监测的情景时,这些技术特别相关。还探讨了对机器学习模型的抵制。设计上不同层次的隐私的高级分类法与拟议的视觉隐私保护技术分类法有关。最后,我们注意到该领域存在的开放问题,并向读者介绍一些令人振奋的视觉隐私领域未来研究途径。