Real-time Appearance-based Person Re-identification Over Multiple KinectTM Cameras

Riccardo Satta, Federico Pala, Giorgio Fumera, Fabio Roli

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.

References

  1. Doretto, G., Sebastian, T., Tu, P., and Rittscher, J. (2011). Appearance-based person reidentification in camera networks: problem overview and current approaches. J. Amb. Intell. and Human. Comp. 2:127-151.
  2. Farenzena, M., et al. (2010). Person re-identification by symmetry-driven accumulation of local features. In CVPR, 2010.
  3. Gray, D., Brennan, S., and Tao, H. (2007). Evaluating appearance models for recognition, reacquisition, and tracking. In PETS, 2007.
  4. Kolb, A., Barth, E., Koch, R., and Larsen, R. (2009). Timeof-Flight Sensors in Computer Graphics. In Eurographics 2009 - State of the Art Reports.
  5. Salas, J. and Tomasi, C. (2011). People detection using color and depth images. In MCPR, 2011.
  6. Salvi, J., et al. (2004). Pattern codification strategies in structured light systems. Patt. Rec. 37(4):827-849.
  7. Satta, R., Fumera, G., and Roli, F. (2012). Fast person reidentification based on dissimilarity representations. Patt. Rec. Lett. 33(14):1838-1848.
  8. Shotton, J., et al. (2011). Real-time human pose recognition in parts from single depth images. In CVPR, 2011.
  9. Spinello, L. and Arras, K. (2011). People detection in rgb-d data. In IROS, 2011.
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Paper 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