This website requires JavaScript.

Understanding Ethics, Privacy, and Regulations in Smart Video Surveillance for Public Safety

Babak Rahimi ArdabiliArmin Danesh PazhoGhazal Alinezhad NoghreChristopher NeffArun RavindranHamed Tabkhi
Dec 2022
摘要
Recently, Smart Video Surveillance (SVS) systems have been receiving moreattention among scholars and developers as a substitute for the current passivesurveillance systems. These systems are used to make the policing andmonitoring systems more efficient and improve public safety. However, thenature of these systems in monitoring the public's daily activities bringsdifferent ethical challenges. There are different approaches for addressingprivacy issues in implementing the SVS. In this paper, we are focusing on therole of design considering ethical and privacy challenges in SVS. Reviewingfour policy protection regulations that generate an overview of best practicesfor privacy protection, we argue that ethical and privacy concerns could beaddressed through four lenses: algorithm, system, model, and data. As an casestudy, we describe our proposed system and illustrate how our system can createa baseline for designing a privacy perseverance system to deliver safety tosociety. We used several Artificial Intelligence algorithms, such as objectdetection, single and multi camera re-identification, action recognition, andanomaly detection, to provide a basic functional system. We also usecloud-native services to implement a smartphone application in order to deliverthe outputs to the end users.
展开全部
图表提取

暂无人提供速读十问回答

论文十问由沈向洋博士提出,鼓励大家带着这十个问题去阅读论文,用有用的信息构建认知模型。写出自己的十问回答,还有机会在当前页面展示哦。

Q1论文试图解决什么问题?
Q2这是否是一个新的问题?
Q3这篇文章要验证一个什么科学假设?
0
被引用
笔记
问答