RGB-D-based Human Motion Recognition with Deep Learning: A Survey

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 生物识别与安全技术

	RGB-D-based Human Motion Recognition with Deep Learning: A Survey
	Pichao Wang2 ; Wanqing Li 2; Philip Ogunbona 2; Jun Wan1 ; Sergio Escalera
发表期刊	Computer Vision and Image Understanding
	2018
卷号	PP 期号:1 页码:1-22
摘要	Human motion recognition is one of the most important branches of human-centered research activities. In recent years, motion recognition based on RGB-D data has attracted much attention. Along with the development in artificial intelligence, deep learning techniques have gained remarkable success in computer vision. In particular, convolutional neural networks (CNN) have achieved great success for image-based tasks, and recurrent neural networks (RNN) are renowned for sequence-based problems. Specifically, deep learning methods based on the CNN and RNN architectures have been adopted for motion recognition using RGB-D data. In this paper, a detailed overview of recent advances in RGB-D-based motion recognition is presented. The reviewed methods are broadly categorized into four groups, depending on the modality adopted for recognition: RGBbased, depth-based, skeleton-based and RGB+D-based. As a survey focused on the application of deep learning to RGB-D-based motion recognition, we explicitly discuss the advantages and limitations of existing techniques. Particularly, we highlighted the methods of encoding spatial-temporal-structural information inherent in video sequence, and discuss potential directions for future research.
关键词	Human Motion Recognition Rgb-d Data Deep Learning Survey
收录类别	SCI
WOS记录号	WOS:000453340400011
引用统计	被引频次：231[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/173211/21705
专题	多模态人工智能系统全国重点实验室_生物识别与安全技术
作者单位	1.Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences 2.University of Wollongong, Australia 3.c University of Barcelona and Computer Vision Center, Spain
推荐引用方式 GB/T 7714	Pichao Wang,Wanqing Li,Philip Ogunbona,et al. RGB-D-based Human Motion Recognition with Deep Learning: A Survey[J]. Computer Vision and Image Understanding,2018,PP(1):1-22.
APA	Pichao Wang,Wanqing Li,Philip Ogunbona,Jun Wan,&Sergio Escalera.(2018).RGB-D-based Human Motion Recognition with Deep Learning: A Survey.Computer Vision and Image Understanding,PP(1),1-22.
MLA	Pichao Wang,et al."RGB-D-based Human Motion Recognition with Deep Learning: A Survey".Computer Vision and Image Understanding PP.1(2018):1-22.

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