Real-time Appearance-based Person Re-identification Over Multiple KinectTM Cameras
Riccardo Satta, Federico Pala, Giorgio Fumera, Fabio Roli
2013
Abstract
Person re-identification consists of recognizing a person over different cameras, using appearance cues. We investigate the deployment of real-world re-identification systems, by developing and testing a working prototype. We focus on two practical issues: computational complexity, and reliability of segmentation and tracking. The former is addressed by using a recently proposed fast re-identification method, the latter by using Kinect cameras. To our knowledge, this is the first example of a fully-functional re-identification system based on Kinect in the literature. We finally point out possible improvements and future research directions.
DownloadPaper Citation
in Harvard Style
Satta R., Pala F., Fumera G. and Roli F. (2013). Real-time Appearance-based Person Re-identification Over Multiple KinectTM Cameras . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013) ISBN 978-989-8565-48-8, pages 407-410. DOI: 10.5220/0004292504070410
in Bibtex Style
@conference{visapp13,
author={Riccardo Satta and Federico Pala and Giorgio Fumera and Fabio Roli},
title={Real-time Appearance-based Person Re-identification Over Multiple KinectTM Cameras},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013)},
year={2013},
pages={407-410},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004292504070410},
isbn={978-989-8565-48-8},
}
in EndNote Style
TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013)
TI - Real-time Appearance-based Person Re-identification Over Multiple KinectTM Cameras
SN - 978-989-8565-48-8
AU - Satta R.
AU - Pala F.
AU - Fumera G.
AU - Roli F.
PY - 2013
SP - 407
EP - 410
DO - 10.5220/0004292504070410