Přístupnostní navigace
E-application
Search Search Close
Publication detail
FICEK, D. RICHTER, M.
Original Title
Pose estimation and tracking for sign language recognition
Type
conference paper
Language
English
Original 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
Authors
FICEK, D.; RICHTER, M.
Released
26. 4. 2022
Publisher
Brno University of Technology, Faculty of Electrical Engineering and Communication
Location
Brno
ISBN
978-80-214-6030-0
Book
Proceedings II of the 28th Conference STUDENT EEICT 2022 Selected papers
Edition
1
Pages from
116
Pages to
119
Pages count
4
URL
https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2022_sbornik_2_v3_DOI.pdf
BibTex
@inproceedings{BUT188102, author="Dominik {Ficek} and Miloslav {Richter}", title="Pose estimation and tracking for sign language recognition", booktitle="Proceedings II of the 28th Conference STUDENT EEICT 2022 Selected papers", year="2022", series="1", pages="116--119", publisher="Brno University of Technology, Faculty of Electrical Engineering and Communication", address="Brno", doi="10.13164/eeict.2022.116", isbn="978-80-214-6030-0", url="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2022_sbornik_2_v3_DOI.pdf" }