Sequentially Supervised Long Short-Term Memory for Gesture Recognition

doi:10.1007/s12559-016-9388-6

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	Sequentially Supervised Long Short-Term Memory for Gesture Recognition
	Wang, Peisong; Song, Qiang; Han, Hua; Cheng, Jian
刊名	COGNITIVE COMPUTATION
	2016-10-01
卷号	8 期号:5 页码:982-991
关键词	Gesture Recognition Pose Estimation Lstm Sequential Classification
DOI	10.1007/s12559-016-9388-6
文献子类	Article
英文摘要	Gesture recognition has been suffering from long-term dependencies and complex variations in both spatial and temporal dimensions. Many traditional methods use hand cropping and sliding window scheme in the spatial and temporal space, respectively. In this paper, we propose a sequentially supervised long short-term memory architecture, which allows using pose information to guide the learning process of gesture recognition using variable length inputs. Technically, we add supervision at each frame using human joint positions. Our proposed methods can solve gesture recognition and pose estimation problems simultaneously using only RGB videos without hand cropping. Experimental results on two benchmark datasets demonstrate the effectiveness of the proposed framework compared with the state-of-the-art methods.
WOS研究方向	Computer Science ; Neurosciences & Neurology
语种	英语
WOS记录号	WOS:000386351500018
资助机构	National Natural Science Foundation of China(61332016) ; Project of Chinese Academy of Sciences(XDB02060001)
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/13327]
专题	自动化研究所_模式识别国家重点实验室_图像与视频分析团队
作者单位	Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Wang, Peisong,Song, Qiang,Han, Hua,et al. Sequentially Supervised Long Short-Term Memory for Gesture Recognition[J]. COGNITIVE COMPUTATION,2016,8(5):982-991.
APA	Wang, Peisong,Song, Qiang,Han, Hua,&Cheng, Jian.(2016).Sequentially Supervised Long Short-Term Memory for Gesture Recognition.COGNITIVE COMPUTATION,8(5),982-991.
MLA	Wang, Peisong,et al."Sequentially Supervised Long Short-Term Memory for Gesture Recognition".COGNITIVE COMPUTATION 8.5(2016):982-991.