Learning spatiotemporal representations for human fall detection in surveillance video | |
Kong, Yongqiang; Huang, Jianhui; Huang, Shanshan; Wei, Zhengang; Wang, Shengke | |
刊名 | JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION |
2019 | |
卷号 | 59页码:215-230 |
关键词 | Fall detection Human silhouette Motion history image Dynamic image Convolutional Neural Networks High-quality representation |
DOI | 10.1016/j.jvcir.2019.01.024 |
URL标识 | 查看原文 |
公开日期 | [db:dc_date_available] |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/4542719 |
专题 | 山东大学 |
作者单位 | 1.Beihang Univ, Sch Comp Sci & Engn, Beijing 100191, Peoples R China. 2.Shandong Univ Sci & Technol, Coll Comp Sci & |
推荐引用方式 GB/T 7714 | Kong, Yongqiang,Huang, Jianhui,Huang, Shanshan,et al. Learning spatiotemporal representations for human fall detection in surveillance video[J]. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION,2019,59:215-230. |
APA | Kong, Yongqiang,Huang, Jianhui,Huang, Shanshan,Wei, Zhengang,&Wang, Shengke.(2019).Learning spatiotemporal representations for human fall detection in surveillance video.JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION,59,215-230. |
MLA | Kong, Yongqiang,et al."Learning spatiotemporal representations for human fall detection in surveillance video".JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION 59(2019):215-230. |
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