STEREO VISION USING HETEROGENEOUS SENSORS FOR COMPLEX SCENE MONITORING

Sanjeev Kumar, Claudio Piciarelli

2009

Abstract

The intelligent monitoring of complex scenes usually requires the adoption of different sensors depending on the type of application (i.e. radar, sonar, chemical, etc.). From the past few years, monitoring is mainly represented by visual-surveillance. In this field, the research has proposed great innovation improving the surveillance from the standard CCTV to modern systems now able to infer behaviors in limited contexts. Though, when environments allow the creation of complex scenes (i.e. crowds, clutter, etc.) robust solutions are still far to be available. In particular, one of the major problems is represented by the occlusions that often limit the performance of the algorithms. As matter of fact, the majority of the proposed visual surveillance solutions processes the data flow generated by a single camera. These methods fail to correctly localize an occluded object in the real environment. Stereo vision can be introduced to solve such a limit but the number of needed sensors would double. Thus, to obtain the benefits of the stereo vision discharging some of its drawbacks, a novel framework in stereo vision is proposed by adopting the sensors available in common visual-surveillance networks. In particular, we will focus on the analysis of a stereo vision system which is build from a pairs of heterogeneous sensors, i.e., static and PTZ cameras with a task to locate objects accurately.

References

  1. Foresti,G.L., Micheloni, C. and Piciarelli, C. (2005). Detecting Moving People in Video Streams, Pattern Recognition Letters, 26(15), 2232-2243.
  2. Faugeras, O. (1993). Three-Dimensional Computer Vision, MIT Press, Cambridge, MA, USA.
  3. Forsyth, D.A. and Ponce, J. (2003). Computer Vision: A Modern Approach, Prentice Hall.
  4. Brown, M.J., Burschka, D. and Hager, G.D. (2003). Advances in computational stereo, IEEE trans. of Pattern Analysis and Machine Intelligence, 25(8), 993-1008.
  5. Fusiello, A., Irsara, L. (2006). Quasi-euclidean uncalibrated epipolar rectification, Research Report RR 43/2006, Department of Computer Scince, Univ. of Verona.
  6. Isgro, F., Trucco, E. (1999). On robust rectification for uncalibrated images, in proc. of IEEE International Conference on Image Analysis and Processing.
  7. Lowe, D.G. (2004). Distinctive image features from scaleinvariant keypoints, International Journal of Computer Vision 60(2), 91-110.
  8. Micheloni, C. and Foresti, G.L. (2003). Fast Good Features Selection for Wide Area Monitoring, in proc. of IEEE International Conference on Advanced Video and Signal Based Surveillance, Miami (FL), USA.
  9. Scharstein, D. and Szeliski, R. (2002). A taxonomy and evaluation of dense two-frame stereo correspondence algorithms, Int. Journal of Computer Vision, 47(1-3), 7-42.
  10. Tao, H., Sawhney, H.S. and Kumar, R. (2001), A global matching framework for stereo computation, in proc. of IEEE Int. Conferece on Computer Vision, 532-539.
  11. Wan, D. and Zhou, J. (2008). Stereo vision using PTZ cameras, Computer vision and Image Understanding, article in press.
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Paper Citation


in Harvard Style

Kumar S. and Piciarelli C. (2009). STEREO VISION USING HETEROGENEOUS SENSORS FOR COMPLEX SCENE MONITORING . 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 551-556. DOI: 10.5220/0001821105510556


in Bibtex Style

@conference{visapp09,
author={Sanjeev Kumar and Claudio Piciarelli},
title={STEREO VISION USING HETEROGENEOUS SENSORS FOR COMPLEX SCENE MONITORING},
booktitle={Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009)},
year={2009},
pages={551-556},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001821105510556},
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 - STEREO VISION USING HETEROGENEOUS SENSORS FOR COMPLEX SCENE MONITORING
SN - 978-989-8111-69-2
AU - Kumar S.
AU - Piciarelli C.
PY - 2009
SP - 551
EP - 556
DO - 10.5220/0001821105510556