Sciweavers

Share
PCM
2004
Springer

Vision-Based Sign Language Recognition Using Sign-Wise Tied Mixture HMM

10 years 8 days ago
Vision-Based Sign Language Recognition Using Sign-Wise Tied Mixture HMM
Abstract. In this paper, a new sign-wise tied mixture HMM (SWTMHMM) is proposed and applied in vision-based sign language recognition (SLR). In the SWTMHMM, the mixture densities of the same sign model are tied so that the states belonging to the same sign share a common local codebook, which leads to robust model parameters estimation and efficient computation of probability densities. For the sign feature extraction, an effective hierarchical feature description scheme with different scales of features to characterize sign language is presented. Experimental results based on 439 frequently used Chinese sign language (CSL) signs show that the proposed methods can work well for the medium vocabulary SLR in the unconstrained environment.
Liangguo Zhang, Gaolin Fang, Wen Gao, Xilin Chen,
Added 02 Jul 2010
Updated 02 Jul 2010
Type Conference
Year 2004
Where PCM
Authors Liangguo Zhang, Gaolin Fang, Wen Gao, Xilin Chen, Yiqiang Chen
Comments (0)
books