Publication detail

Pose estimation and tracking for sign language recognition

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"
}