Abstract
Intelligent video surveillance for elderly people living alone using Omni-directional Vision Sensor (ODVS) is an important application in the field of intelligent video surveillance. In this paper, an ODVS is utilized to provide a 360° panoramic image for obtaining the real-time situation for the elderly at home. Some algorithms such as motion object detection, motion object tracking, posture detection, behavior analysis are used to implement elderly monitoring. For motion detection and object tracking, a method based on MHoEI(Motion History or Energy Images) is proposed to obtain the trajectory and the minimum bounding rectangle information for the elderly. The posture of the elderly is judged by the aspect ratio of the minimum bounding rectangle. And there are the different aspect ratios in accordance with the different distance between the object and ODVS. In order to obtain activity rhythm and detect variously behavioral abnormality for the elderly, a detection method is proposed using time, space, environment, posture and action to describe, analyze and judge the various behaviors of the elderly in the paper. In addition, the relationship between the panoramic image coordinates and the ground positions is acquired by using ODVS calibration. The experiment result shows that the above algorithm can meet elderly surveillance demand and has a higher recognizable rate.
Highlights
According to the investigation of the UN, the number of people over 65 in China will be 12.7% of the total population in 2030 [1], and the number of elderly persons who lived alone increased rapidly in recent years
The experiment result shows that the above algorithm can meet elderly surveillance demand and has a higher recognizable rate
For motion detection and object tracking, we propose a method based on MHoEI to obtain the trajectory and the minimum bounding rectangle information for the elderly
Summary
According to the investigation of the UN, the number of people over 65 in China will be 12.7% of the total population in 2030 [1], and the number of elderly persons who lived alone increased rapidly in recent years As for this proliferation of the elderly, kinds of remote care services need to be provided. A variety of cameras or sensors are adopted to obtain the real-time situation for the elderly at home, and elderly abnormality is judged according to the above situations. For the home monitoring technology [4,5] based on physiological sensor, elderly physiological parameters including ECG, blood pressure, respiration, blood glucose, body temperature, and so on are acquired with using physiological sensor in real time and the condition of elderly healthy is judged. Elderly abnormal behaviors are described, analyzed and judged with using time, space, environment, posture and action, etc
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
