Original title: Pose estimation and tracking for sign language recognition
Authors: Ficek, Dominik ; Richter, Miloslav
Document type: Papers
Language: eng
Publisher: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstract: In this work we combine several state-of-the-art algorithms into a single pose tracking pipeline. We recognize motion, relative position and pose of human hands and face as the main information carriers as we separate the problem into three main tasks: hand and face detection, hand and face pose estimation and tracking hands and face in dynamic environment. We also propose to use measurements from pose estimation steps as a visual information indicator to solve dynamic tracking assignment problem.
Keywords: Hand and face detection, pose estimation, tracking, sign language recognition
Host item entry: Proceedings II of the 28st Conference STUDENT EEICT 2022: Selected papers, ISBN 978-80-214-6030-0

Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: http://hdl.handle.net/11012/208616

Permalink: http://www.nusl.cz/ntk/nusl-511885


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Universities and colleges > Public universities > Brno University of Technology
Conference materials > Papers
 Record created 2022-12-11, last modified 2022-12-11


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