Reading the signs: A video based sign dictionary
Reading the signs: A video based sign dictionary
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阅读标志：基于视频的标志词典
DOI：
10.1109/iccvw.2011.6130349
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发表时间：
2011
期刊：
影响因子：
--
通讯作者：
R. Bowden
中科院分区：
文献类型：
--
作者：
H. Cooper;N. Pugeault;R. Bowden
本文提出了一个字典的手语使用视觉符号识别的基础上的语言子组件。我们演示了一个系统，用户进行查询，接收响应排名选择类似的结果。该方法使用的概念，从语言学提供的标志子单元的功能和分类的基础上运动，标志的位置和手形。这些子单元使用马尔可夫模型进行符号级识别。结果显示了一个视频数据集的984个孤立的迹象进行了本地签名。识别率达到71.4%的第一个候选人和85.9%的检索排名前10位的标志。
This article presents a dictionary for Sign Language using visual sign recognition based on linguistic sub-components. We demonstrate a system where the user makes a query, receiving in response a ranked selection of similar results. The approach uses concepts from linguistics to provide sign sub-unit features and classifiers based on motion, sign-location and handshape. These sub-units are combined using Markov Models for sign level recognition. Results are shown for a video dataset of 984 isolated signs performed by a native signer. Recognition rates reach 71.4% for the first candidate and 85.9% for retrieval within the top 10 ranked signs.