PEDESTRIAN DETECTION BY RANGE IMAGING

Heinz Hügli, Thierry Zamofing

2007

Abstract

Remote detection by camera offers a versatile means for recording people activities. Relying principally on changes in video images, the method tends to fail in presence of shadows and illumination changes. This paper explores a possible remedy to these problems by using range cameras instead of conventional video cameras. As range is an intrinsic measure of object geometry, it is basically not affected by illumination. The study described in this paper considers range detection by two state-of-the art cameras, namely a stereo and a time-of-flight camera. Performed investigations consider typical situations of pedestrian detection. The presented results are analyzed and compared in performance with conventional results. The study shows the effective potential of range camera to get rid of light change problems like shadow effects but also presents some current limitations of range cameras.

References

  1. D. M. Beckwith and K. M. Hunter-Zaworski. Passive pedestrian detection at unsignalized crossings. Transportation research records, Paper No. 98-0725, 1996. URL http://www.enhancements.org/trb\1636- 016.pdf
  2. I. Haritaoglu, D. Harwood, and L. Davis. Who, when, where, what: A real time system for detecting and tracking people. Proceedings of the Third Face and Gesture Recognition Conference, pages 222--227, 1998.
  3. G. Finlayson, S. Hordley, and M. Drew. Removing shadows from images. 2002. URL http://citeseer.ist.psu.edu/finlayson02removing.html.
  4. H. Jiang and M. S. Drew. Shadow-resistant tracking in video, 2003 URL http://citeseer.ist.psu.edu/jiang03shadowresistant.html.
  5. L. Jianguang & al. An Illumination Invariant Change Detection Algorithm", Proc. ACCV, 2002
  6. A. Elgammal, R. Duraiswami, D. Harwood, and L. S. Davis. Background and foreground modeling using nonparametric kernel density for visual surveillance. Proc. of the IEEE, 90(7), pp. 1151-1163, 2002.
  7. J. M. Ying Ming, Jingjue Jiang. Background modeling and subtraction using a local-linear-dependence-based cauchy statistical model, 2003. URL www.cmis.csiro.au/Hugues.Talbot/dicta2003/cdrom/p df/0469.pdf
  8. P. Seitz. Solid-state time-of-flight range camera. IEEE Journals of Quantum Electronics, 2003
  9. T. Zamofing, H. Hügli. Range Image Filtering Using Reliability Information. Proc. SPIE Vol. 5606-16, 2004
  10. P. G. Research. Bumblebee 3D camera. URL http://www.ptgrey.com/products/bumblebee/.
Download


Paper Citation


in Harvard Style

Hügli H. and Zamofing T. (2007). PEDESTRIAN DETECTION BY RANGE IMAGING . In Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 3: Human Presence Detection for Context-aware Systems, (VISAPP 2007) ISBN 978-972-8865-75-7, pages 18-22. DOI: 10.5220/0002069000180022


in Bibtex Style

@conference{human presence detection for context-aware systems07,
author={Heinz Hügli and Thierry Zamofing},
title={PEDESTRIAN DETECTION BY RANGE IMAGING},
booktitle={Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 3: Human Presence Detection for Context-aware Systems, (VISAPP 2007)},
year={2007},
pages={18-22},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002069000180022},
isbn={978-972-8865-75-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 3: Human Presence Detection for Context-aware Systems, (VISAPP 2007)
TI - PEDESTRIAN DETECTION BY RANGE IMAGING
SN - 978-972-8865-75-7
AU - Hügli H.
AU - Zamofing T.
PY - 2007
SP - 18
EP - 22
DO - 10.5220/0002069000180022