RESEARCH ARTICLE Remote Safety Monitoring for Elderly Persons Based on Omni-Vision Analysis

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 popu-lation, we propose a novel omni-directional vision sensor based system, which can detect and track object motion, recognize human posture, and analyze human behavior automati-cally. 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 per-sons 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 el-derly 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