InLiDa: A 3D Lidar Dataset for People Detection and Tracking in Indoor Environments

Cristina Romero-González, Álvaro Villena, Daniel González-Medina, Jesus Martínez-Gómez, Luis Rodríguez-Ruiz, Ismael García-Varea

2017

Abstract

The objective evaluation of people detectors and trackers is essential to develop high performance and general purpose solutions to these problems. This evaluation can be easily done thanks to the use of annotated datasets, but there are some combinations of sensors and scopes that have not been extensively explored. Namely, the application of large range 3D sensors in indoor environments for people detection purposes has been sparsely studied. To fill this gap, we propose InLiDa, a dataset that consists of six different sequences acquired in two different large indoor environments. The dataset is released with a set of tools valid for its use as benchmark for people detection and tracking proposals. Also baseline results obtained with state-of-the-art techniques for people detection and tracking are presented

Paper Citation

in Harvard Style

Romero-González C., Villena Á., González-Medina D., Martínez-Gómez J., Rodríguez-Ruiz L. and García-Varea I. (2017). InLiDa: A 3D Lidar Dataset for People Detection and Tracking in Indoor Environments . In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 6: VISAPP, (VISIGRAPP 2017) ISBN 978-989-758-227-1, pages 484-491. DOI: 10.5220/0006148704840491

in Bibtex Style

@conference{visapp17,
author={Cristina Romero-González and Álvaro Villena and Daniel González-Medina and Jesus Martínez-Gómez and Luis Rodríguez-Ruiz and Ismael García-Varea},
title={InLiDa: A 3D Lidar Dataset for People Detection and Tracking in Indoor Environments},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 6: VISAPP, (VISIGRAPP 2017)},
year={2017},
pages={484-491},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006148704840491},
isbn={978-989-758-227-1},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 6: VISAPP, (VISIGRAPP 2017)
TI - InLiDa: A 3D Lidar Dataset for People Detection and Tracking in Indoor Environments
SN - 978-989-758-227-1
AU - Romero-González C.
AU - Villena Á.
AU - González-Medina D.
AU - Martínez-Gómez J.
AU - Rodríguez-Ruiz L.
AU - García-Varea I.
PY - 2017
SP - 484
EP - 491
DO - 10.5220/0006148704840491