Detail publikačního výsledku

Pose estimation and tracking for sign language recognition

FICEK, D.; RICHTER, M.

Originální název

Pose estimation and tracking for sign language recognition

Anglický název

Pose estimation and tracking for sign language recognition

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

Hand and face detection, pose estimation, tracking, sign language recognition

Klíčová slova v angličtině

Hand and face detection, pose estimation, tracking, sign language recognition

Autoři

FICEK, D.; RICHTER, M.

Rok RIV

2024

Vydáno

26.04.2022

Nakladatel

Brno University of Technology, Faculty of Electrical Engineering and Communication

Místo

Brno

ISBN

978-80-214-6030-0

Kniha

Proceedings II of the 28th Conference STUDENT EEICT 2022 Selected papers

Edice

1

Strany od

116

Strany do

119

Strany počet

4

URL

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"
}