Name
Abstract | ||
|---|---|---|
In this paper we describe a HMM-based sign language recognition (SLR) system for isolated signs. In the first part we describe the image parametrization method producing features used for recognition. Our goal was to find the best combination of a feature space dimension reduction method and an HMM structure. Index terms: PCA, LDA, ICA, HLDA, heteroscedastic, sign-language, Hu's moments, tracking, skin-color detection |
Year | Venue | Field |
|---|---|---|
2008 | INTERSPEECH 2008: 9TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2008, VOLS 1-5 | Czech,Feature vector,Dimensionality reduction,Parametrization,Pattern recognition,Computer science,Speech recognition,Sign language,Artificial intelligence,Hidden Markov model |
DocType | Citations | PageRank |
Conference | 1 | 0.40 |
References | Authors | |
12 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jan Trmal | 1 | 235 | 20.91 |
| Marek Hrúz | 2 | 26 | 9.58 |
| Jan Zelinka | 3 | 37 | 8.86 |
| Pavel Campr | 4 | 45 | 5.33 |
| Ludek Müller | 5 | 82 | 20.58 |
| Ludek Müller | 6 | 82 | 20.58 |