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Authors: Cristina Romero-González ; Álvaro Villena ; Daniel González-Medina ; Jesus Martínez-Gómez ; Luis Rodríguez-Ruiz and Ismael García-Varea

Affiliation: University of Castilla-La Mancha, Spain

Keyword(s): Indoor Lidar Dataset, People Detection, People Tracking, Benchmark.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Robotics ; Software Engineering ; Tracking and Visual Navigation

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

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Paper citation in several formats:
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 (VISIGRAPP 2017) - Volume 6: VISAPP; ISBN 978-989-758-227-1; ISSN 2184-4321, SciTePress, pages 484-491. DOI: 10.5220/0006148704840491

@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 (VISIGRAPP 2017) - Volume 6: VISAPP},
year={2017},
pages={484-491},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006148704840491},
isbn={978-989-758-227-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 6: VISAPP
TI - InLiDa: A 3D Lidar Dataset for People Detection and Tracking in Indoor Environments
SN - 978-989-758-227-1
IS - 2184-4321
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
PB - SciTePress

- Science and Technology Publications, Lda.
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