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Human fall detection using normalized shape aspect ratio

文献类型：期刊论文

作者Min, Weidong1,2; Zou, Song1; Li, Jing1,3
刊名MULTIMEDIA TOOLS AND APPLICATIONS
出版日期2019-06-01
卷号78期号:11页码:14331-14353
关键词Human fall detection Falling toward different directions Indoor and outdoor environments Normalized shape aspect ratio
ISSN号1380-7501
DOI10.1007/s11042-018-6794-7
通讯作者Li, Jing(jingli@ncu.edu.cn)
英文摘要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.
WOS关键词MIXTURE MODEL ; SURVEILLANCE ; TRACKING ; SYSTEM
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]
WOS研究方向Computer Science ; Engineering
语种英语
WOS记录号WOS:000474249700010
出版者SPRINGER
资助机构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
源URL[http://ir.ia.ac.cn/handle/173211/26846]  
专题自动化研究所_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
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.

入库方式： OAI收割

来源：自动化研究所

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