REAL TIME FOREGROUND OBJECT DETECTION USING PTZ CAMERA

Lionel Robinault, Serge Miguet, Stéphane Bres

2009

Abstract

An important research is done to exploit the characteristics of PTZ cameras. These cameras allow motorized cover a wide field of view. A classic application of these cameras is to image mosaicing. But they can also be used to track moving objects. In this paper, we present an original approach for performing the registration, adapted to the case of central projection and a background subtraction algorithms for these cameras. The background image is iteratively updated and only on the part "seen" by the camera. We have experimented different segmentation algorithms using our background modeling technique and this approach makes it possible object tracking in real time for PTZ cameras.

References

  1. Azzari, P., Bevilacqua, A., 2006, Joint spatial and tonal mosaic alignment for motion detection with ptz camera, ICIAR06. Vol. II, 764-775
  2. Bevilacqua, A. and al, 2005, An effective real-time mosaicing algorithm apt to detect motion through background subtraction using a ptz camera. 511-516
  3. Bevilacqua A., Azzari P, 2006, High-Quality Real Time Motion Detection Using PTZ Cameras, AVSS 7806, p. 23
  4. Bhat, K.S., Saptharishi, M., Khosla, P.K., 2000, Motion detection and segmentation using image mosaics, IEEE International Conference on Multimedia and Expo, 1577-1580
  5. Brown M., Lowe D.G., 2003, Recognising panoramas, ICCV 03, 1218
  6. Faugeras O., 1993, Three-Dimensional Computer Vision (Artificial Intelligence). The MIT Press
  7. Haritaoglu I., Harwood D., Davis L.S., 2000, real-time surveillance of people and their activities, IEEE Transaction On PAMI , Vol. 22, pages 809-830.
  8. Harris C., Stephens M., 1988, A Combined Corner and Edge Detector, Proceedings of The Fourth Alvey Vision Conference, 147-151
  9. Kang S, Paik J., Koschan A., Abidi B, 2003, Real-time video tracking using PTZ cameras, Proc. of SPIE 6th International Conference on Quality Control by Artificial Vision, Vol. 5132, pp. 103-111
  10. Lee D.S. 2005, Effective Gaussain Mixture Learning for Video Background Substraction, IEEE Transaction On PAMI vol.27, no. 5.
  11. Migdal J., Izo T., Stauffer C., 2005, Moving Object Segmentation Using Super-Resolution Background Models, OMNIVIS
  12. Nelder J.A., Mead R., 1965, A simplex method for function minimization. The Computer Journal (7), 308-313
  13. Perner P., 2001, Motion Tracking of Animal for Behavior Analysis, Visual Form 2001, Springer Verlag 2001, pages 779-787.
  14. Sinha S., Pollefeys M., Kim S., 2004, High-resolution multiscale panoramic mosaics from pan-tilt-zoom cameras, Indian Conference on Computer Vision, Graphics and Image Processing. 28-33
  15. Szeliski, R., Shum, H., 1997, Creating full view panoramic image mosaics and environment maps, SIGGRAPH 97
  16. Stauffer C., Grimson W., 1999, Adaptative background mixture models for real-time tracking, CVPR99.
  17. Triggs B., McLauchlan P., Hartley R., Fitzgibbon A., 2000, Bundle adjustment - A modern synthesis, Vision Algorithms: Theory and Practice. LNCS. Springer Verlag, 298-375
Download


Paper Citation


in Harvard Style

Robinault L., Miguet S. and Bres S. (2009). REAL TIME FOREGROUND OBJECT DETECTION USING PTZ CAMERA . In Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009) ISBN 978-989-8111-69-2, pages 609-614. DOI: 10.5220/0001796806090614


in Bibtex Style

@conference{visapp09,
author={Lionel Robinault and Serge Miguet and Stéphane Bres},
title={REAL TIME FOREGROUND OBJECT DETECTION USING PTZ CAMERA},
booktitle={Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009)},
year={2009},
pages={609-614},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001796806090614},
isbn={978-989-8111-69-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009)
TI - REAL TIME FOREGROUND OBJECT DETECTION USING PTZ CAMERA
SN - 978-989-8111-69-2
AU - Robinault L.
AU - Miguet S.
AU - Bres S.
PY - 2009
SP - 609
EP - 614
DO - 10.5220/0001796806090614