Content-Independent Image Monitoring for Elders' Motion

• Main Authors: Ping-chen Li, 李秉臻
• Other Authors: Shun-Feng Su
• Format: Others
• Language: en_US
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/75908553647815242344

碩士 === 國立臺灣科技大學 === 電機工程系 === 97 === Because the population distribution of global societies is toward aging and the trend of fewer children born in the present generation, the percentage of elders will be higher and higher in the future. At the same time, in order to improve the life quality of elders, many researchers have paid much attention on the study of smart home to provide various techniques in equipping the environment with more capability to help elders in various ways. The regular life safety of elders who live alone is especially discussed, investigated and researched widely. A novel detection conception－content-independent image processing system (CIIP system) is designed and suggested in this study. The falling behaviors and unconscious situations of aged people can be identified successfully and effectively by putting and fixing a wireless mini camera on users and taking advantage of several simple digital image processing skills. Combining this proposed system with color markers, the goal of locating user’s position is achieved. Lastly, a whole new image signal processing manner－pixel value accumulation method is created and recommended in this thesis. Merging this method with the cross correlation operator and other common image processing techniques, uncomplicated movements of users can be identified in CIIP system.