MS-ASL: A Large-Scale Data Set and Benchmark for Understanding American Sign Language

Sign language recognition is a challenging and often underestimated problem comprising multi-modal articulators (handshape, orientation, movement, upper body and face) that integrate asynchronously on multiple streams. Learning powerful statistical models in such a scenario requires much data, parti...

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Veröffentlicht in:	arXiv.org 2019-11
Hauptverfasser:	Hamid Reza Vaezi Joze, Koller, Oscar
Format:	Artikel
Sprache:	eng
Schlagworte:	Datasets Moving object recognition Recognition Sign language State-of-the-art reviews Statistical models Video data
Online-Zugang:	Volltext
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