Privacy-Preserved Video Monitoring Method with 3D Human Pose Estimation

IF 2 3区计算机科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computer Supported Cooperative Work-The Journal of Collaborative Computing Pub Date : 2023-05-24 DOI:10.1109/CSCWD57460.2023.10152735

Jifan Shen, Yuling Sun

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引用次数: 0

Abstract

With the fast growth of aging population and the spread of various chronic diseases such as heart disease and arthritis among older adults, elderly care has become an urgent topic facing today’s society. Consequently, technologies mediated remote care has become a widely-used method, with the significant promise of reducing cost and improving the efficiency and quality of healthcare. Yet, most remote-caring technologies, especially surveillance video based remote care, face the challenge of privacy issues. For addressing this issue, this paper proposes a privacy- preserved remote care method. Specially, we use ROMP to extract the 3D human model of the elderly in the surveillance video, and use KNN pose estimation algorithm to detect the potential abnormal behaviors. Compared to existing methods, which mainly replace the privacy information with totally different contents, our method not only protects the personal privacy information of the elderly, but also provides clear and identifiable posture information which could better support remote care.

查看原文本刊更多论文

基于三维人体姿态估计的隐私视频监控方法

随着老龄化人口的快速增长和老年人心脏病、关节炎等各种慢性疾病的蔓延，老年人护理已成为当今社会面临的紧迫课题。因此，技术介导的远程医疗已成为一种广泛使用的方法，具有降低成本，提高医疗效率和质量的重大承诺。然而，大多数远程护理技术，特别是基于监控视频的远程护理，都面临着隐私问题的挑战。针对这一问题，本文提出了一种隐私保护的远程护理方法。特别地，我们使用ROMP算法提取监控视频中老年人的三维人体模型，并使用KNN姿态估计算法检测潜在的异常行为。与现有的方法主要是用完全不同的内容替换隐私信息相比，我们的方法不仅保护了老年人的个人隐私信息，而且提供了清晰可识别的姿势信息，可以更好地支持远程护理。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Computer Supported Cooperative Work-The Journal of Collaborative Computing COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-

CiteScore

6.40

自引率

4.20%

发文量

审稿时长

>12 weeks

期刊介绍： Computer Supported Cooperative Work (CSCW): The Journal of Collaborative Computing and Work Practices is devoted to innovative research in computer-supported cooperative work (CSCW). It provides an interdisciplinary and international forum for the debate and exchange of ideas concerning theoretical, practical, technical, and social issues in CSCW. The CSCW Journal arose in response to the growing interest in the design, implementation and use of technical systems (including computing, information, and communications technologies) which support people working cooperatively, and its scope remains to encompass the multifarious aspects of research within CSCW and related areas. The CSCW Journal focuses on research oriented towards the development of collaborative computing technologies on the basis of studies of actual cooperative work practices (where ‘work’ is used in the wider sense). That is, it welcomes in particular submissions that (a) report on findings from ethnographic or similar kinds of in-depth fieldwork of work practices with a view to their technological implications, (b) report on empirical evaluations of the use of extant or novel technical solutions under real-world conditions, and/or (c) develop technical or conceptual frameworks for practice-oriented computing research based on previous fieldwork and evaluations.