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Authors: Nelson Rodrigues 1 ; Helena Torres 1 ; Bruno Oliveira 1 ; João Borges 1 ; Sandro Queirós 2 ; José Henrique Mendes 1 ; Jaime Fonseca 1 ; Victor Coelho 3 and José Henrique Brito 4

Affiliations: 1 Algoritmi Center, University of Minho, Guimarães and Portugal ; 2 Algoritmi Center, University of Minho, Guimarães, Portugal, 2Ai - Polytechnic Institute of Cávado and Ave, Barcelos and Portugal ; 3 Bosch, Braga and Portugal ; 4 2Ai - Polytechnic Institute of Cávado and Ave, Barcelos and Portugal

Keyword(s): Human Pose, Depth Images.

Abstract: In this paper, a method for estimation of human pose is proposed, making use of ToF (Time of Flight) cameras. For this, a YOLO based object detection method was used, to develop a top-down method. In the first stage, a network was developed to detect people in the image. In the second stage, a network was developed to estimate the joints of each person, using the image result from the first stage. We show that a deep learning network trained from scratch with ToF images yields better results than taking a deep neural network pretrained on RGB data and retraining it with ToF data. We also show that a top-down detector, with a person detector and a joint detector works better than detecting the body joints over the entire image.

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Paper citation in several formats:
Rodrigues, N.; Torres, H.; Oliveira, B.; Borges, J.; Queirós, S.; Mendes, J.; Fonseca, J.; Coelho, V. and Brito, J. (2019). Top-Down Human Pose Estimation with Depth Images and Domain Adaptation. 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 281-288. DOI: 10.5220/0007344602810288

@conference{visapp19,
author={Nelson Rodrigues. and Helena Torres. and Bruno Oliveira. and João Borges. and Sandro Queirós. and José Henrique Mendes. and Jaime Fonseca. and Victor Coelho. and José Henrique Brito.},
title={Top-Down Human Pose Estimation with Depth Images and Domain Adaptation},
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={281-288},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007344602810288},
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 - Top-Down Human Pose Estimation with Depth Images and Domain Adaptation
SN - 978-989-758-354-4
IS - 2184-4321
AU - Rodrigues, N.
AU - Torres, H.
AU - Oliveira, B.
AU - Borges, J.
AU - Queirós, S.
AU - Mendes, J.
AU - Fonseca, J.
AU - Coelho, V.
AU - Brito, J.
PY - 2019
SP - 281
EP - 288
DO - 10.5220/0007344602810288
PB - SciTePress