Comparison of Multi-shot Models for Short-term Re-identification of People using RGB-D Sensors

Andreas Møgelmose, Chris Bahnsen, Thomas B. Moeslund

2015

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.

Paper Citation

in Harvard Style

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 - Volume 2: VISAPP, (VISIGRAPP 2015) ISBN 978-989-758-090-1, pages 244-251. DOI: 10.5220/0005266402440251

in Bibtex Style

@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 - Volume 2: VISAPP, (VISIGRAPP 2015)},
year={2015},
pages={244-251},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005266402440251},
isbn={978-989-758-090-1},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2015)
TI - Comparison of Multi-shot Models for Short-term Re-identification of People using RGB-D Sensors
SN - 978-989-758-090-1
AU - Møgelmose A.
AU - Bahnsen C.
AU - Moeslund T.
PY - 2015
SP - 244
EP - 251
DO - 10.5220/0005266402440251