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Authors: Andreas Møgelmose ; Chris Bahnsen and Thomas B. Moeslund

Affiliation: Aalborg University, Denmark

Keyword(s): Re-identification, Systems, Color Features.

Abstract: This work explores different types of multi-shot descriptors for re-identification in an on-the-fly enrolled environment using RGB-D sensors. We present a full re-identification pipeline complete with detection, segmentation, feature extraction, and re-identification, which expands on previous work by using multi-shot descriptors modeling people over a full camera pass instead of single frames with no temporal linking. We compare two different multi-shot models; mean histogram and histogram series, and test them each in 3 different color spaces. Both histogram descriptors are assisted by a depth-based pruning step where unlikely candidates are filtered away. Tests are run on 3 sequences captured in different circumstances and lighting situations to ensure proper generalization and lighting/environment invariance.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Møgelmose, A.; Bahnsen, C. and Moeslund, T. (2015). Comparison of Multi-shot Models for Short-term Re-identification of People using RGB-D Sensors. In Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 3: VISAPP; ISBN 978-989-758-090-1; ISSN 2184-4321, SciTePress, pages 244-251. DOI: 10.5220/0005266402440251

@conference{visapp15,
author={Andreas Møgelmose. and Chris Bahnsen. and Thomas B. Moeslund.},
title={Comparison of Multi-shot Models for Short-term Re-identification of People using RGB-D Sensors},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 3: VISAPP},
year={2015},
pages={244-251},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005266402440251},
isbn={978-989-758-090-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 3: VISAPP
TI - Comparison of Multi-shot Models for Short-term Re-identification of People using RGB-D Sensors
SN - 978-989-758-090-1
IS - 2184-4321
AU - Møgelmose, A.
AU - Bahnsen, C.
AU - Moeslund, T.
PY - 2015
SP - 244
EP - 251
DO - 10.5220/0005266402440251
PB - SciTePress

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