Human fall detection using normalized shape aspect ratio

doi:10.1007/s11042-018-6794-7

	Human fall detection using normalized shape aspect ratio
	Min, Weidong 1,2; Zou, Song 1; Li, Jing 1,3
发表期刊	MULTIMEDIA TOOLS AND APPLICATIONS
ISSN	1380-7501
	2019-06-01
卷号	78 期号:11 页码:14331-14353
通讯作者	Li, Jing(jingli@ncu.edu.cn)
摘要	In video surveillance, automatic human fall detection is important to protect vulnerable groups such as the elderly. When the camera layout varies, the shape aspect ratio (SAR) of a human body may change substantially. In order to rectify these changes, in this paper, we propose an automatic human fall detection method using the normalized shape aspect ratio (NSAR). A calibration process and bicubic interpolation are implemented to generate the NSAR table for each camera. Compared with some representative fall detection methods using the SAR, the proposed method integrates the NSAR with the moving speed and direction information to robustly detect human fall, as well as being able to detect falls toward eight different directions for multiple humans. Moreover, while most of the existing fall detection methods were designed only for indoor environment, experimental results demonstrate that this newly proposed method can effectively detect human fall in both indoor and outdoor environments.
关键词	Human fall detection Falling toward different directions Indoor and outdoor environments Normalized shape aspect ratio
DOI	10.1007/s11042-018-6794-7
关键词[WOS]	MIXTURE MODEL ; SURVEILLANCE ; TRACKING ; SYSTEM
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[61463032] ; National Natural Science Foundation of China[61762061] ; National Natural Science Foundation of China[61703198] ; Natural Science Foundation of Jiangxi Province, China[20161ACB20004] ; Natural Science Foundation of Jiangxi Province, China[2018ACB21014] ; Open Fund of State Key Laboratory ofManagement and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences[20180109] ; National Natural Science Foundation of China[61463032] ; National Natural Science Foundation of China[61762061] ; National Natural Science Foundation of China[61703198] ; Natural Science Foundation of Jiangxi Province, China[20161ACB20004] ; Natural Science Foundation of Jiangxi Province, China[2018ACB21014] ; Open Fund of State Key Laboratory ofManagement and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences[20180109]
项目资助者	National Natural Science Foundation of China ; Natural Science Foundation of Jiangxi Province, China ; Open Fund of State Key Laboratory ofManagement and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS记录号	WOS:000474249700010
出版者	SPRINGER
七大方向——子方向分类	其他
引用统计	被引频次：9[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/26847
专题	中国科学院分子影像重点实验室
通讯作者	Li, Jing
作者单位	1.Nanchang Univ, Sch Informat Engn, Nanchang 330031, Jiangxi, Peoples R China 2.Nanchang Univ, Sch Software Engn, Nanchang 330029, Jiangxi, Peoples R China 3.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
通讯作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Min, Weidong,Zou, Song,Li, Jing. Human fall detection using normalized shape aspect ratio[J]. MULTIMEDIA TOOLS AND APPLICATIONS,2019,78(11):14331-14353.
APA	Min, Weidong,Zou, Song,&Li, Jing.(2019).Human fall detection using normalized shape aspect ratio.MULTIMEDIA TOOLS AND APPLICATIONS,78(11),14331-14353.
MLA	Min, Weidong,et al."Human fall detection using normalized shape aspect ratio".MULTIMEDIA TOOLS AND APPLICATIONS 78.11(2019):14331-14353.