Sparse Observation (SO) Alignment for Sign Language Recognition
文献类型：期刊论文
| 作者 | Wang, Hanjie2; Chai, Xiujuan1,2; Chen, Xilin1,2,3 |
| 刊名 | NEUROCOMPUTING
 |
| 出版日期 | 2016-01-29 |
| 卷号 | 175页码:674-685 |
| 关键词 | Sign language Recognition Hidden Markov Model Dynamic Time Warping Stable Marriage Problem RGB-D data |
| ISSN号 | 0925-2312 |
| DOI | 10.1016/j.neucom.2015.10.112 |
| 英文摘要 | In this paper, we propose a method for robust Sign Language Recognition from RGB-D data. A Sparse Observation (SO) description is proposed to character each sign in terms of the typical hand postures. Concretely speaking, the SOs are generated by considering the typical posture fragments, where hand motions are relatively slow and hand shapes are stable. Thus the matching between two sign words is converted to measure the similarity computing between two aligned SO sequences. The alignment is formulated as a variation of Stable Marriage Problem (SMP). The classical "propose-engage" idea is extended to get the order preserving matched SO pairs. In the training stage, the multiple instances from one sign are fused to generate single SO template. In the recognition stage, SOs of each probe sign "propose" to SOs of the templates for the purpose of reasonable similarity computing. To further speed up the SO alignment, hand posture relationship map is constructed as a strong prior to generate the distinguished low-dimensional feature of SO. Moreover, to get much better performance, the motion trajectory feature is integrated. Experiments on two large datasets and an extra Chalearn Multi-modal Gesture Dataset demonstrate that our algorithm has much higher accuracy with only 1/10 time cost compared with the HMM and DTW based methods. (C) 2015 Elsevier B.V. All rights reserved. |
| 资助项目 | Microsoft Research Asia ; Natural Science Foundation of China[61390511] ; Natural Science Foundation of China[61472398] ; FiDiPro program of Tekes |
| WOS研究方向 | Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000367756600065 |
| 出版者 | ELSEVIER SCIENCE BV |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/8926]  |
| 专题 | 中国科学院计算技术研究所期刊论文_英文 |
| 通讯作者 | Chai, Xiujuan |
| 作者单位 | 1.Cooperat Medianet Innovat Ctr, Beijing, Peoples R China 2.Chinese Acad Sci, Key Lab Intelligent Informat Proc, Inst Comp Technol, Beijing 100190, Peoples R China 3.Univ Oulu, Dept Comp Sci & Engn, SF-90100 Oulu, Finland |
| 推荐引用方式 GB/T 7714 | Wang, Hanjie,Chai, Xiujuan,Chen, Xilin. Sparse Observation (SO) Alignment for Sign Language Recognition[J]. NEUROCOMPUTING,2016,175:674-685. |
| APA | Wang, Hanjie,Chai, Xiujuan,&Chen, Xilin.(2016).Sparse Observation (SO) Alignment for Sign Language Recognition.NEUROCOMPUTING,175,674-685. |
| MLA | Wang, Hanjie,et al."Sparse Observation (SO) Alignment for Sign Language Recognition".NEUROCOMPUTING 175(2016):674-685. |
入库方式： OAI收割
来源：计算技术研究所
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