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
ISSN0167-8655
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
DOI10.1016/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
被引频次:21[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/173211/27907
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
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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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