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Authors: João Borges 1 ; Bruno Oliveira 1 ; Helena Torres 1 ; Nelson Rodrigues 1 ; Sandro Queirós 1 ; 2 ; 3 ; Maximilian Shiller 4 ; Victor Coelho 5 ; Johannes Pallauf 4 ; José Mendes 1 and Jaime Fonseca 1

Affiliations: 1 Algoritmi Center, University of Minho, Guimarães, Portugal ; 2 ICVS/3B’s – PT Government Associate Laboratory, Braga/Guimarães, Portugal ; 3 Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal ; 4 Bosch Engineering GmbH, Abstatt, Germany ; 5 Bosch Car Multimédia S.A., Braga, Portugal 62Ai - Polytechnical Institute of Cávado and Ave, Barcelos, Portugal

Keyword(s): Automotive Applications, Synthetic Dataset Generation, Supervised Learning, Human Pose Estimation.

Abstract: In this paper, a toolchain for the generation of realistic synthetic images for human body pose detection in an in-car environment is proposed. The toolchain creates a customized synthetic environment, comprising human models, car, and camera. Poses are automatically generated for each human, taking into account a per-joint axis Gaussian distribution, constrained by anthropometric and range of motion measurements. Scene validation is done through collision detection. Rendering is focused on vision data, supporting time-of-flight (ToF) and RGB cameras, generating synthetic images from these sensors. Ground-truth data is then generated, comprising the car occupants’ body pose (2D/3D), as well as full body RGB segmentation frames with different body parts’ labels. We demonstrate the feasibility of using synthetic data, combined with real data, to train distinct machine learning agorithms, demonstrating the improvement in their algorithmic accuracy for the in-car scenario.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Borges, J.; Oliveira, B.; Torres, H.; Rodrigues, N.; Queirós, S.; Shiller, M.; Coelho, V.; Pallauf, J.; Mendes, J. and Fonseca, J. (2020). Automated Generation of Synthetic in-Car Dataset for Human Body Pose Detection. In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP, ISBN 978-989-758-402-2; ISSN 2184-4321, pages 550-557. DOI: 10.5220/0009316205500557

@conference{visapp20,
author={João Borges. and Bruno Oliveira. and Helena Torres. and Nelson Rodrigues. and Sandro Queirós. and Maximilian Shiller. and Victor Coelho. and Johannes Pallauf. and José Mendes. and Jaime Fonseca.},
title={Automated Generation of Synthetic in-Car Dataset for Human Body Pose Detection},
booktitle={Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP,},
year={2020},
pages={550-557},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009316205500557},
isbn={978-989-758-402-2},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP,
TI - Automated Generation of Synthetic in-Car Dataset for Human Body Pose Detection
SN - 978-989-758-402-2
IS - 2184-4321
AU - Borges, J.
AU - Oliveira, B.
AU - Torres, H.
AU - Rodrigues, N.
AU - Queirós, S.
AU - Shiller, M.
AU - Coelho, V.
AU - Pallauf, J.
AU - Mendes, J.
AU - Fonseca, J.
PY - 2020
SP - 550
EP - 557
DO - 10.5220/0009316205500557

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