title: Remote safety monitoring for elderly persons based on omni-vision analysis.
abstract: Remote monitoring service for elderly persons is important as the aged populations in most developed countries continue growing. To monitor the safety and health of the elderly population, we propose a novel omni-directional vision sensor based system, which can detect and track object motion, recognize human posture, and analyze human behavior automatically. In this work, we have made the following contributions: (1) we develop a remote safety monitoring system which can provide real-time and automatic health care for the elderly persons and (2) we design a novel motion history or energy images based algorithm for motion object tracking. Our system can accurately and efficiently collect, analyze, and transfer elderly activity information and provide health care in real-time. Experimental results show that our technique can improve the data analysis efficiency by 58.5% for object tracking. Moreover, for the human posture recognition application, the success rate can reach 98.6% on average.
authors.affiliation: College of Information Engineering, Zhejiang University of Technology, Hangzhou, China.
authors.forename: Yun
authors.initials: Y
authors.lastname: Xiang
authors.affiliation: College of Information Engineering, Zhejiang University of Technology, Hangzhou, China.
authors.forename: Yi-Ping
authors.initials: YP
authors.lastname: Tang
authors.affiliation: College of Information Engineering, Zhejiang University of Technology, Hangzhou, China.
authors.forename: Bao-Qing
authors.initials: BQ
authors.lastname: Ma
authors.affiliation: College of Information Engineering, Zhejiang University of Technology, Hangzhou, China.
authors.forename: Hang-Chen
authors.initials: HC
authors.lastname: Yan
authors.affiliation: College of Computer Science, Zhejiang University of Technology, Hangzhou, China.
authors.forename: Jun
authors.initials: J
authors.lastname: Jiang
authors.affiliation: College of Computer Science, Zhejiang University of Technology, Hangzhou, China.
authors.forename: Xu-Yuan
authors.initials: XY
authors.lastname: Tian
mesh_terms: D000203:Activities of Daily Living; D000368:Aged; D000465:Algorithms; D006801:Humans; D018670:Monitoring, Ambulatory / Q000379:methods*