Collection and Preprocessing of Czech Sign Language Corpus for Sign Language Recognition

This paper discusses the design, recording and preprocessing of a Czech sign language corpus. The corpus is intended for training and testing of sign language recognition (SLR) systems. The UWB-07-SLR-P corpus contains video data of 4 signers recorded from 3 different perspectives. Two of the perspectives contain whole body and provide 3D motion data, the third one is focused on signer's face and provide data for face expression and lip feature extraction. Each signer performed 378 signs with 5 repetitions. The corpus consists of several types of signs: numbers (35 signs), one and two-handed finger alphabet (64), town names (35) and other signs (244). Each sign

• Type: Conference
• Year: 2008
• Where: LREC
• Authors: Pavel Campr, Marek Hrúz, Jana Trojanová
• Keywords: Education, LREC 2008, Sign Language, Sign Language Corpus, Sign Language Recognition