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ACCV
2009
Springer

Fingerspelling Recognition through Classification of Letter-to-Letter Transitions

9 years 3 months ago
Fingerspelling Recognition through Classification of Letter-to-Letter Transitions
Abstract. We propose a new principle for recognizing fingerspelling sequences from American Sign Language (ASL). Instead of training a system to recognize the static posture for each letter from an isolated frame, we recognize the dynamic gestures corresponding to transitions between letters. This eliminates the need for an explicit temporal segmentation step, which we show is error-prone at speeds used by native signers. We present results from our system recognizing 82 different words signed by a single signer, using more than an hour of training and test video. We demonstrate that recognizing letter-to-letter transitions without temporal segmentation is feasible and results in improved performance.
Susanna Ricco, Carlo Tomasi
Added 11 Aug 2010
Updated 11 Aug 2010
Type Conference
Year 2009
Where ACCV
Authors Susanna Ricco, Carlo Tomasi
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