Vision-Based Fall Detection Through Shape Features

被引:13
作者
Lin, Chih-Yang [1 ]
Wang, Shang-Ming [2 ]
Hong, Jia-Wei [2 ]
Kang, Li-Wei [3 ,4 ]
Huang, Chung-Lin [5 ]
机构
[1] Asia Univ, Dept Bioinformat & Med Engn, Taichung, Taiwan
[2] Asia Univ, Dept Comp Sci & Informat Engn, Taichung, Taiwan
[3] Natl Yunlin Univ Sci & Technol, Grad Sch Engn Sci & Technol, Touliu 64002, Yunlin, Taiwan
[4] Natl Yunlin Univ Sci & Technol, Dept Comp Sci & Informat Engn, Touliu 64002, Yunlin, Taiwan
[5] Asia Univ, Dept M Commerce & Multimedia Applicat, Taichung, Taiwan
来源
2016 IEEE SECOND INTERNATIONAL CONFERENCE ON MULTIMEDIA BIG DATA (BIGMM) | 2016年
关键词
fall detection; motion history image; motion features;
D O I
10.1109/BigMM.2016.22
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A major cause of deaths among the elderly relates to accidental falls. Such falls are of particular medical concern to this population because they often result in severe injuries, since senior citizens usually live alone and cannot ask for help when accidents happen. In this paper, we propose a fall detection system with the help of a Gaussian mixture background model to build the background before motion history image (MHI) is applied to analyze the fall behavior. Finally, two extra features, acceleration and angular acceleration, are proposed to more accurately determine whether a fall event has happened.
引用
收藏
页码:237 / 240
页数:4
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