CASIA OpenIR  > 模式识别国家重点实验室  > 生物识别与安全技术研究
RGB-D-based Human Motion Recognition with Deep Learning: A Survey
Pichao Wang2; Wanqing Li2; Philip Ogunbona2; Jun Wan1; Sergio Escalera
Source PublicationComputer Vision and Image Understanding
2018
VolumePPIssue:1Pages:1-22
AbstractHuman 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.
KeywordHuman Motion Recognition Rgb-d Data Deep Learning Survey
Indexed BySCI
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/21705
Collection模式识别国家重点实验室_生物识别与安全技术研究
Affiliation1.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
Recommended Citation
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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