A Unified Framework for Multi-Modal Isolated Gesture Recognition

doi:10.1145/3131343

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

	A Unified Framework for Multi-Modal Isolated Gesture Recognition
	Duan, Jiali 1,2; Wan, Jun1,2 ; Zhou, Shuai 3; Guo, Xiaoyuan 4; Li, Stan Z.1,2
发表期刊	ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS
ISSN	1551-6857
	2018-04-01
卷号	14 期号:1 页码:16
通讯作者	Wan, Jun(jun.wan@ia.ac.cn)
摘要	In this article, we focus on isolated gesture recognition and explore different modalities by involving RGB stream, depth stream, and saliency stream for inspection. Our goal is to push the boundary of this realm even further by proposing a unified framework that exploits the advantages of multi-modality fusion. Specifically, a spatial-temporal network architecture based on consensus-voting has been proposed to explicitly model the long-term structure of the video sequence and to reduce estimation variance when confronted with comprehensive inter-class variations. In addition, a three-dimensional depth-saliency convolutional network is aggregated in parallel to capture subtle motion characteristics. Extensive experiments are done to analyze the performance of each component and our proposed approach achieves the best results on two public benchmarks, ChaLearn IsoGD and RGBD-HuDaAct, outperforming the closest competitor by a margin of over 10% and 15%, respectively. Our project and codes will be released at https:// davidsonic.github. io/index/acm_tomm_2017.html.
关键词	Multi-modal consensus-voting 3D convolution isolated gesture recognition
DOI	10.1145/3131343
关键词[WOS]	REAL-TIME
收录类别	SCI
语种	英语
资助项目	National Key Research and Development Plan[2016YFC0801002] ; Chinese National Natural Science Foundation[61502491] ; Chinese National Natural Science Foundation[61473291] ; Chinese National Natural Science Foundation[61572501] ; Chinese National Natural Science Foundation[61572536] ; Chinese National Natural Science Foundation[61673052] ; Science and Technology Development Fund of Macau[112/2014/A3] ; NVIDIA GPU ; AuthenMetric RD Funds ; National Key Research and Development Plan[2016YFC0801002] ; Chinese National Natural Science Foundation[61502491] ; Chinese National Natural Science Foundation[61473291] ; Chinese National Natural Science Foundation[61572501] ; Chinese National Natural Science Foundation[61572536] ; Chinese National Natural Science Foundation[61673052] ; Science and Technology Development Fund of Macau[112/2014/A3] ; NVIDIA GPU ; AuthenMetric RD Funds
项目资助者	National Key Research and Development Plan ; Chinese National Natural Science Foundation ; Science and Technology Development Fund of Macau ; NVIDIA GPU ; AuthenMetric RD Funds
WOS研究方向	Computer Science
WOS类目	Computer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods
WOS记录号	WOS:000433517100007
出版者	ASSOC COMPUTING MACHINERY
引用统计	被引频次：20[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/173211/15302
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
通讯作者	Wan, Jun
作者单位	1.Chinese Acad Sci, CBSR, Inst Automat, Beijing, Peoples R China 2.Chinese Acad Sci, NLPR, Inst Automat, Beijing, Peoples R China 3.Macau Univ Sci & Technol, Taipa, Macao, Peoples R China 4.Univ Chinese Acad Sci, Sch Engn Sci, Beijing, 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	Duan, Jiali,Wan, Jun,Zhou, Shuai,et al. A Unified Framework for Multi-Modal Isolated Gesture Recognition[J]. ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS,2018,14(1):16.
APA	Duan, Jiali,Wan, Jun,Zhou, Shuai,Guo, Xiaoyuan,&Li, Stan Z..(2018).A Unified Framework for Multi-Modal Isolated Gesture Recognition.ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS,14(1),16.
MLA	Duan, Jiali,et al."A Unified Framework for Multi-Modal Isolated Gesture Recognition".ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS 14.1(2018):16.

条目包含的文件		下载所有文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
TOMM2017_isogesture.（6349KB）	期刊论文	作者接受稿	开放获取	CC BY-NC-SA	浏览下载