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