Abstract
Over the last few years, employment of visual sensoriality in automated surveillance systems has enjoyed a growing popularity, oftentimes yielding solutions able to compete with those based on more traditional sensors, such as photocells or infrareds. In some application fields (e.g., people identification), research outcomes are now sufficiently mature to be exploited commercially [1]; in others, such as environment control, people counting [2], traffic [3] or crowd monitoring [4], very interesting results have been obtained in fairly general, real-world situations.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
R. Brunelli, D. Brunelli, T. Poggio, and L. Stringa, “Recognition System, particularly for Recognising People”, US Patent 5,412,738.
M. Rossi and A. Bozzoli, “Tracking and Counting Moving People”, In ICIP Proceedings, Vol. III, pp. 212–216, Austin, TX, November, 13–16 1994.
T. Huang, D. Koller, J. Malik, G. Ogasawara, B. Rao, S. Russell, and J. Weber, “Automatic Symbolic Traffic Scene Analysis Using Belief Networks”, In AAAI Proceedings, Seattle, WA, August 1994.
A. Bozzoli, R. Barbo B. Caprile, and M. Rossi: Crowding Evaluation, “A Visual Reflex- Based Approach”, in S. Impedovo, editor, Progress in Image Analysis and Processing III - ICIAP Proceedings, pp. 83–86. World Scientific, 1993.
K. Karmann, A. Brandt, and R. Gerl, “Moving Object Segmentation Based on Adaptive Reference Images”, Signal Proc., 5:951–954, 1990.
M. Boninsegna and A. Bozzoli, “A Tunable Algorithm to Update a Reference Image”, Tech. Rep. 9803–06, IRST, April 1998.
T. Coianiz, M. Boninsegna, and B. Caprile, “A Fuzzy Classifier for Visual Crowding Estimates”, in ICNN Proceedings, 1996.
R. Tsai, “An Efficient and Accurate Camera Calibration Technique for 3D Machine Vision”, in CVPR Proceedings, pp. 364–374, 1986.
M. Aste, M. Boninsegna, and M. Delia Torre, “Finding Perspective Projection and Stereo Localization Mappings for a Multi-Camera System”, Tech. Rep. 9803–04, IRST, March 1998.
J. Weng, P. Cohen, and M. Herniou, “Camera Calibration with Distortion Models and Accuracy Evaluation”, PAMI, 14(10):965–980, 1992.
M. Aste and M. Boninsegna, “Dealing with Incomplete Data in Pattern Recognition”, Tech. Rep. 9710–05, IRST, October 1997.
J. Pearl, “Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference”, Morgan Kaufmann, 1988.
R. Cattoni and A. Potrich, “Bayesian Belief Networks: Introduction and Learning”, Tech. Rep. 9803–05, IRST, April 1998.
U. Kjaerulff, “A Computational Scheme for Reasoning in Dynamic Probabilistic Networks”, in Morgan Kaufmann Publishers, editor, UAI Proceedings, pp. 121–129,1992.
M. Boninsegna and A. Bozzoli, “Sistema Antiintrusione Basato su Elaborazione Visiva”, in Atti del III Convegno Nazionale PFT2-CNR, Taormina, Italy, November 1997.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1999 Springer Science+Business Media New York
About this chapter
Cite this chapter
Andolfi, G., Aste, M., Boninsegna, M., Cattoni, R., Potrich, A., Caprile, B. (1999). The Advanced Visual Monitoring Project at IRST. In: Regazzoni, C.S., Fabri, G., Vernazza, G. (eds) Advanced Video-Based Surveillance Systems. The Springer International Series in Engineering and Computer Science, vol 488. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-5085-3_12
Download citation
DOI: https://doi.org/10.1007/978-1-4615-5085-3_12
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-7313-1
Online ISBN: 978-1-4615-5085-3
eBook Packages: Springer Book Archive