Abstract. A sign language recognition system based on Hidden Markov Models(HMMs) and Auto-regressive Hidden Markov Models(ARHMMs) has been proposed in this paper. ARHMMs fully cons...
Xiaolin Yang, Feng Jiang, Han Liu, Hongxun Yao, We...
Abstract. This paper reviews the extensive state of the art in automated recognition of continuous signs, from different languages, based on the data sets used, features computed, ...
Barbara L. Loeding, Sudeep Sarkar, Ayush Parashar,...
Traffic sign recognition is a difficult task if we aim at detecting and recognizing signs in images captured from unfavorable environments. Complex background, weather, shadow, and...
For the recognition of continuous sign language we analyse whether we can improve the results by explicitly incorporating depth information. Accurate hand tracking for sign languag...
Philippe Dreuw, Pascal Steingrube, Thomas Deselaer...
In the last years two automated reasoning techniques for clause normal form arose in which the use of labels are prominently featured: signed logic and annotated logic programming...