中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Latent Support Vector Machine Modeling for Sign Language Recognition with Kinect

文献类型:期刊论文

作者Sun, Chao; Zhang, Tianzhu; Xu, Changsheng
刊名ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY
出版日期2015-05-01
卷号6期号:2
关键词Algorithms Experimentation Performance Sign language recognition Kinect sensor latent SVM
英文摘要Vision-based sign language recognition has attracted more and more interest from researchers in the computer vision field. In this article, we propose a novel algorithm to model and recognize sign language performed in front of a Microsoft Kinect sensor. Under the assumption that some frames are expected to be both discriminative and representative in a sign language video, we first assign a binary latent variable to each frame in training videos for indicating its discriminative capability, then develop a latent support vector machine model to classify the signs, as well as localize the discriminative and representative frames in each video. In addition, we utilize the depth map together with the color image captured by the Kinect sensor to obtain a more effective and accurate feature to enhance the recognition accuracy. To evaluate our approach, we conducted experiments on both word-level sign language and sentence-level sign language. An American Sign Language dataset including approximately 2,000 word-level sign language phrases and 2,000 sentence-level sign language phrases was collected using the Kinect sensor, and each phrase contains color, depth, and skeleton information. Experiments on our dataset demonstrate the effectiveness of the proposed method for sign language recognition.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Artificial Intelligence ; Computer Science, Information Systems
研究领域[WOS]Computer Science
关键词[WOS]GESTURE RECOGNITION ; VIDEO ; ANNOTATION ; FRAMEWORK
收录类别SCI
语种英语
WOS记录号WOS:000354049800010
公开日期2015-09-22
源URL[http://ir.ia.ac.cn/handle/173211/8072]  
专题自动化研究所_模式识别国家重点实验室_多媒体计算与图形学团队
作者单位Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714
Sun, Chao,Zhang, Tianzhu,Xu, Changsheng. Latent Support Vector Machine Modeling for Sign Language Recognition with Kinect[J]. ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY,2015,6(2).
APA Sun, Chao,Zhang, Tianzhu,&Xu, Changsheng.(2015).Latent Support Vector Machine Modeling for Sign Language Recognition with Kinect.ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY,6(2).
MLA Sun, Chao,et al."Latent Support Vector Machine Modeling for Sign Language Recognition with Kinect".ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY 6.2(2015).

入库方式: OAI收割

来源:自动化研究所

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