AN ENERGY-BASED BACKGROUND MODELLING ALGORITHM FOR MOTION DETECTION

Paolo Spagnolo, Marco Leo, Tiziana D’Orazio, Andrea Caroppo, Tommaso Martiriggiano

Abstract

Detecting moving objects is very important in many application contexts such as people detection, visual surveillance, automatic generation of video effects, and so on. The first and fundamental step of all motion detection algorithms is the background modeling. The goal of the methodology here proposed is to create a background model substantially independent from each hypothesis about the training phase, as the presence of moving persons, moving background objects, and changing (sudden or gradual) light conditions. We propose an unsupervised approach that combines the results of temporal analysis of pixel intensity with a sliding window procedure to preserve the model from the presence of foreground moving objects during the building phase. Moreover, a multilayered approach has been implemented to handle small movements in background objects. The algorithm has been tested in many different contexts, such as a soccer stadium, a parking area, a street, a beach. Finally, it has been tested even on the CAVIAR 2005 dataset.

References

  1. Chalidabhongse, T.H., Kim, K., Harwood, D., Davis, L.S., 2003. A Perturbation Method for Evaluating Background Subtraction Algorithms, Proc. VS-PETS.
  2. Doretto, G., Chiuso, A., Wu, Y.N., Soatto, S., 2003. Dynamic textures. In IJCV, 51 (2), pp 91-109
  3. Elgammal, A., Harwood, D., Davis, L.S., 2000. Nonparametric model for background subtraction. In ECCV, Vol. 2, pp. 751-767
  4. Haritaoglu, I. ,Harwood, D., Davis, L.S., 1998. Ghost: A human body part labeling system using silhouettes. In Fourteenth ICPR, Brisbane.
  5. Jaraba, E.H., Urunuela,C., Senar,J., 2003. Detected motion classification with a double-background and a Neighborhood-based difference, PRL, (24),pp.2079- 82.
  6. Kanade, T., Collins, T., Lipton, A., 1998. Advances in Cooperative Multi-Sensor Video Surveillance. Darpa Image Und. Work., Morgan Kaufmann,pp.3-24.
  7. Kim, K, Chalidabhongse, T.H., Harwood, D., Davis, L., 2004. Background modeling and subtraction by codebook construction. Proc. ICIP, Vol. 5, pp 3061- 64
  8. Koller, D., Weber, J., Malik, J., 1994. Robust multiple car tracking with occlusion reasoning. In ECCV pp 189-96
  9. Lipton, A.J., Haering, N., 2002. ComMode: an algorithm for video background modeling and object segmentation. Proc. of ICARCV, pp 1603-08, vol.3
  10. Monnet, A., Mittal, A., Paragios, N., Ramesh, V., 2003. Background modelling and subtraction of dynamic scenes. In ICCV, pp. 1305-12
  11. Stauffer, C., Grimson, W., 1999. Adaptive background mixture models for real-time tracking. In CVPR, pp 246-252
  12. Toyama, K., Krumm, J., Brumitt, B., Meyers, B., 1999. Wallflower: Principles and practice of background maintenance. In ICCV, pp. 255-261
  13. Wren, C.R. Azarbayejani, A., Darrell, T., Pentland, A.P., 1997. Pfinder: real-time tracking of human body. IEEE Trans. PAMI, 19(7), pp. 780 - 785.
  14. Zhong, J., Sclaroff, S., 2003. Segmenting foreground objects from a dynamic, textured background via a robust kalman filter. In ICCV, pp.44-50
Download


Paper Citation


in Harvard Style

Spagnolo P., Leo M., D’Orazio T., Caroppo A. and Martiriggiano T. (2006). AN ENERGY-BASED BACKGROUND MODELLING ALGORITHM FOR MOTION DETECTION . In Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-972-8865-60-3, pages 378-383. DOI: 10.5220/0001221403780383


in Bibtex Style

@conference{icinco06,
author={Paolo Spagnolo and Marco Leo and Tiziana D’Orazio and Andrea Caroppo and Tommaso Martiriggiano},
title={AN ENERGY-BASED BACKGROUND MODELLING ALGORITHM FOR MOTION DETECTION},
booktitle={Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2006},
pages={378-383},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001221403780383},
isbn={978-972-8865-60-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - AN ENERGY-BASED BACKGROUND MODELLING ALGORITHM FOR MOTION DETECTION
SN - 978-972-8865-60-3
AU - Spagnolo P.
AU - Leo M.
AU - D’Orazio T.
AU - Caroppo A.
AU - Martiriggiano T.
PY - 2006
SP - 378
EP - 383
DO - 10.5220/0001221403780383