Institutional Repository of Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Joint spatial-temporal attention for action recognition | |
Yu, Tingzhao1,2; Guo, Chaoxu1,2; Wang, Lingfeng1; Gu, Huxiang1; Xiang, Shiming1; Pan, Chunhong1 | |
发表期刊 | PATTERN RECOGNITION LETTERS |
ISSN | 0167-8655 |
2018-09-01 | |
卷号 | 112页码:226-233 |
文章类型 | Article |
摘要 | In this paper, we propose a novel high-level action representation using joint spatial-temporal attention model, with application to video-based human action recognition. Specifically, to extract robust motion representations of videos, a new spatial attention module based on 3D convolution is proposed, which can pay attention to the salient parts of the spatial areas. For better dealing with long-duration videos, a new bidirectional LSTM based temporal attention module is introduced, which aims to focus on the key video cubes instead of the key video frames of a given video. The spatial-temporal attention network can be jointly trained via a two-stage strategy, which enables us to simultaneously explore the correlation both in spatial and temporal domain. Experimental results on benchmark action recognition datasets demonstrate the effectiveness of our network. (c) 2018 Elsevier B.V. All rights reserved. |
关键词 | Action Recognition Spatial-temporal Attention Two-stage |
WOS标题词 | Science & Technology ; Technology |
DOI | 10.1016/j.patrec.2018.07.034 |
关键词[WOS] | REPRESENTATION |
收录类别 | SCI |
语种 | 英语 |
项目资助者 | National Natural Science Foundation of China(61773377 ; 61573352 ; 91646207 ; 91438105) |
WOS研究方向 | Computer Science |
WOS类目 | Computer Science, Artificial Intelligence |
WOS记录号 | WOS:000443950800033 |
出版者 | ELSEVIER SCIENCE BV |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/27907 |
专题 | 模式识别国家重点实验室_先进时空数据分析与学习 |
通讯作者 | Yu, Tingzhao |
作者单位 | 1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Sch Comp & Control Engn, Beijing 101408, Peoples R China |
第一作者单位 | 模式识别国家重点实验室 |
通讯作者单位 | 模式识别国家重点实验室 |
推荐引用方式 GB/T 7714 | Yu, Tingzhao,Guo, Chaoxu,Wang, Lingfeng,et al. Joint spatial-temporal attention for action recognition[J]. PATTERN RECOGNITION LETTERS,2018,112:226-233. |
APA | Yu, Tingzhao,Guo, Chaoxu,Wang, Lingfeng,Gu, Huxiang,Xiang, Shiming,&Pan, Chunhong.(2018).Joint spatial-temporal attention for action recognition.PATTERN RECOGNITION LETTERS,112,226-233. |
MLA | Yu, Tingzhao,et al."Joint spatial-temporal attention for action recognition".PATTERN RECOGNITION LETTERS 112(2018):226-233. |
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