文章基本信息

标题：Key Frame Detection Algorithm based on Dynamic Sign Language Video for the Non Specific Population
本地全文：下载
作者：Li Shurong ; Huang Yuanyuan ; Hu Zuojin 等
期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2015
卷号：8
期号：12
页码：135-148
DOI：10.14257/ijsip.2015.8.12.14
出版社：SERSC
摘要：The current recognition algorithms of sign language, or can only identify static gestures, or need data gloves, position sensor and other additional auxiliary equipments, which are only used for laboratory research and some special occasions. Therefore, they are not conducive to the promotion of widely use. A new idea of sign language recognition based on key frames is presented in this paper. The dynamic sign language can be looked on as a series of static gestures, which can be called the key frames. Through the key frame sequence detection and identification, the sign language can be rapidly recognized. So an algorithm of key frame detection especially for the dynamic sign language is proposed. This adaptive method uses image difference and classification theory in pattern recognition to extract key frames from video, and in addition to PC machines, the entire process requires only a camera, which is very easy to use. Experiments show that the key frames obtained by this way have good stability and accuracy, thus the real-time recognition of dynamic sign language can be realized.
关键词：Dynamic Sign Language; Sign Language Recognition; Key Frame ; Detection; Adaptive