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New Fast Fall Detection Method Based on Spatio-Temporal Context Tracking of Head by Using Depth Images
Yang, Lei[1]; Ren, Yanyun[2]; Hu, Huosheng[3]; Tian, Bo[4]
刊名SENSORS
2015
卷号15页码:23004-23019
关键词fall detection depth images Signal-Gauss-Model Dense spatio-temporal-context
ISSN号1424-8220
URL标识查看原文
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/2239355
专题上海大学
作者单位1.[1]Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai 200072, Peoples R China.
2.[2]Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai 200072, Peoples R China.
3.[3]Univ Essex, Sch Comp Sci & Elect Engn, Colchester CO4 3SQ, Essex, England.
4.[4]Shanghai Univ Finance & Econ, Sch Informat Management & Engn, Shanghai 200433, Peoples R China.
推荐引用方式
GB/T 7714
Yang, Lei[1],Ren, Yanyun[2],Hu, Huosheng[3],et al. New Fast Fall Detection Method Based on Spatio-Temporal Context Tracking of Head by Using Depth Images[J]. SENSORS,2015,15:23004-23019.
APA Yang, Lei[1],Ren, Yanyun[2],Hu, Huosheng[3],&Tian, Bo[4].(2015).New Fast Fall Detection Method Based on Spatio-Temporal Context Tracking of Head by Using Depth Images.SENSORS,15,23004-23019.
MLA Yang, Lei[1],et al."New Fast Fall Detection Method Based on Spatio-Temporal Context Tracking of Head by Using Depth Images".SENSORS 15(2015):23004-23019.
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