loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Mateusz Knapik and Bogusław Cyganek

Affiliation: Department of Electronics, AGH University of Science and Technology, Kraków and Poland

Keyword(s): Eye Detection, Sparse Descriptors, Surf Descriptor, Daisy Descriptor, Thermal Imaging, Operator Monitoring.

Abstract: Eye detection and localization are basic steps in many computer systems aimed at human fatigue monitoring. In this paper we evaluate performance of two sparse image descriptors for eye detection in the long-range IR spectrum. In the training phase, sparse descriptors of the training images are computed and used to create features vocabulary. Final detections are done using bag-of-words approach and additional heuristic for geometric constraints. Several thermal video sequences were recorded to allow for quantitive analysis of this approach. Experimental results show that our method achieves high accuracy in real conditions.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.137.175.80

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Knapik, M. and Cyganek, B. (2019). Comparison of Sparse Image Descriptors for Eyes Detection in Thermal Images. In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 5: VISAPP; ISBN 978-989-758-354-4; ISSN 2184-4321, SciTePress, pages 638-644. DOI: 10.5220/0007576506380644

@conference{visapp19,
author={Mateusz Knapik. and Bogusław Cyganek.},
title={Comparison of Sparse Image Descriptors for Eyes Detection in Thermal Images},
booktitle={Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 5: VISAPP},
year={2019},
pages={638-644},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007576506380644},
isbn={978-989-758-354-4},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 5: VISAPP
TI - Comparison of Sparse Image Descriptors for Eyes Detection in Thermal Images
SN - 978-989-758-354-4
IS - 2184-4321
AU - Knapik, M.
AU - Cyganek, B.
PY - 2019
SP - 638
EP - 644
DO - 10.5220/0007576506380644
PB - SciTePress