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CVPR2021Top-tier venue

Fingerspelling Detection in American Sign Language

Bowen Shi, Diane Brentari, Greg Shakhnarovich, Karen Livescu

2021Year
5Top-tier citations

Abstract

Fingerspelling detection and recognition in video of American Sign Language. The goal of detection is to find intervals corresponding to fingerspelling (here indicated by open/close parentheses), and the goal of recognition is to transcribe each of those intervals into letter sequences. Our focus in this paper is on detection that enables accurate recognition. In this example (with downsampled frames), the fingerspelled words are PIRATES and PATRICK, shown along with their canonical handshapes aligned roughly with the most-canonical corresponding frames. Non-fingerspelled signs are labeled with their glosses. The English translation is "Moving furtively, pirates steal the boy Patrick.

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