Abstract
In this paper, a real-time system, that monitors on home-alone elderly or sick people and produces an alarm whenever they act unusual like falling or fainting via RGB-d camera as surveillance, is designed and developed. In order to check person's state whether s/he is standing, sitting or laying down horizontally, skeleton information that is collected by RGB-d camera is used. To determine if person was fallen or not, instant change of joints' X and Y coordinates, that are saved in skeleton information, are evaluated.
Keywords
RGB color model
Computer vision
Fainting
Artificial intelligence
Computer science
Reset (finance)
Falling (accident)
Sitting
ALARM
Tracking (education)
Engineering
Psychology
Medicine
Subject Areas
Video Surveillance and Tracking Methods
·Computer Vision and Pattern Recognition ·Physical Sciences
Context-Aware Activity Recognition Systems
·Computer Vision and Pattern Recognition ·Physical Sciences
Human Pose and Action Recognition
·Computer Vision and Pattern Recognition ·Physical Sciences
Citations by Year
2015: 1
2021: 1
Loading…
Loading…