SIGNER-INDEPENDENT SIGN LANGUAGE RECOGNITION BASED ON HMMs AND DEPTH INFORMATION
學年 102
學期 1
發表日期 2013-08-18
作品名稱 SIGNER-INDEPENDENT SIGN LANGUAGE RECOGNITION BASED ON HMMs AND DEPTH INFORMATION
作品名稱（其他語言）
著者 謝景棠; 林芃翔; 陳力銘; 王蕙君; 謝杰甫
作品所屬單位 淡江大學電機工程學系
出版者 宜蘭：宜蘭大學
會議名稱 第二十六屆電腦視覺、圖學暨影像處理研討會暨國科會智慧計算學門成果發表及新進人員研習會=The 26th Conferenve on Computer Vision, Graphics, and Image Processing
會議地點 宜蘭, 臺灣
摘要 In this paper, we use the depth information to effectively locate the 3D position of hands in sign language recognition system. But the information will be changed by different signers and we can’t do recognition well. Here, we use the incremental changes of the three- dimensional coordinates on a unit time as feature set to fix the above problem. And we use hidden Markov models(HMMs) as time-varying classifier to recognize the moving change of sign language on time domain. We also include HMMs with scaling factor to solve the underflow effect of HMMs. Experiments verify that the proposed method is superior then traditional one.
關鍵字 Hidden Markov Models;Sign Language Recognition;Depth information
語言 en
收錄於
會議性質 國際
校內研討會地點
研討會時間 20130818~20130820
通訊作者 Ching-Tang Hsieh
國別 TWN
公開徵稿 Y
出版型式 紙本
出處 第二十六屆電腦視覺、圖學暨影像處理研討會暨國科會智慧計算學門成果發表及新進人員研習會=The 26th Conferenve on Computer Vision, Graphics, and Image Processing, 5p.
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/92287 )

機構典藏連結