Knowledge Commons of Institute of Automation,CAS
Latent Support Vector Machine Modeling for Sign Language Recognition with Kinect | |
Sun, Chao; Zhang, Tianzhu; Xu, Changsheng | |
发表期刊 | ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY |
2015-05-01 | |
卷号 | 6期号:2 |
文章类型 | Article |
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. |
关键词 | Algorithms Experimentation Performance Sign Language Recognition Kinect Sensor Latent Svm |
WOS标题词 | Science & Technology ; Technology |
关键词[WOS] | GESTURE RECOGNITION ; VIDEO ; ANNOTATION ; FRAMEWORK |
收录类别 | SCI |
语种 | 英语 |
WOS研究方向 | Computer Science |
WOS类目 | Computer Science, Artificial Intelligence ; Computer Science, Information Systems |
WOS记录号 | WOS:000354049800010 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/8072 |
专题 | 多模态人工智能系统全国重点实验室_多媒体计算 |
作者单位 | Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China |
第一作者单位 | 模式识别国家重点实验室 |
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). |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
TIST15_Latent Suppor(1484KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 |
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