禁止通过我的窗户偷窥：保护个人无人机的隐私
No Peeking through My Windows: Conserving Privacy in Personal Drones
摘要：
在过去的十年里，无人机技术越来越多地被许多精通技术的消费者、一些国防公司、业余爱好者和爱好者使用。无人机通常有各种尺寸，并被设计用于多种目的。如今，许多人都拥有小型的个人无人机，用于娱乐，拍摄或将物品从一个地方运送到另一个地方。然而，个人无人机缺乏隐私保护机制。在执行任务时，无人机经常侵入其他人的私人领地，并在他们不知情和未经同意的情况下通过窗户拍摄照片或视频。它们还可以在无人机的范围内以清晰的形式捕捉人们行走，坐着或做私人事情的视频或图片，而无需他们的许可。这可能会侵犯人们的个人隐私。因此，本文提出了一种轻量级的隐私保护设计方法，可以防止无人机通过房屋的窗户偷窥，并捕捉人们在家里做私密事情。它是一种基于图像增强、形态变换、分割和轮廓处理（MASP）的快速窗口目标检测和置乱技术。此外，混沌置乱技术被纳入到它的隐私目的。因此，该机制在实时视频的每个图像或帧中检测窗口对象，并将它们混乱地掩蔽以保护人们的隐私。实验结果验证了所提出的MASP方法是轻量级的，适用于无人机，被认为是边缘设备。
英文摘要：
The drone technology has been increasingly used by many tech-savvy consumers, a number of defense companies, hobbyists and enthusiasts during the last ten years. Drones often come in various sizes and are designed for a multitude of purposes. Nowadays many people have small-sized personal drones for entertainment, filming, or transporting items from one place to another. However, personal drones lack a privacy-preserving mechanism. While in mission, drones often trespass into the personal territories of other people and capture photos or videos through windows without their knowledge and consent. They may also capture video or pictures of people walking, sitting, or doing private things within the drones' reach in clear form without their go permission. This could potentially invade people's personal privacy. This paper, therefore, proposes a lightweight privacy-preserving-by-design method that prevents drones from peeking through windows of houses and capturing people doing private things at home. It is a fast window object detection and scrambling technology built based on image-enhancing, morphological transformation, segmentation and contouring processes (MASP). Besides, a chaotic scrambling technique is incorporated into it for privacy purpose. Hence, this mechanism detects window objects in every image or frame of a real-time video and masks them chaotically to protect the privacy of people. The experimental results validated that the proposed MASP method is lightweight and suitable to be employed in drones, considered as edge devices.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
