Abstract
New generation surveillance systems [1], [2], [3] require to manage large amounts of visual data (optical, infrared, etc.). Recently, the development of sensor technology and computer networks has contributed to increase the interest in Distributed Sensor Networks (DSNs) for real-time information fusion [4], [5], [6].
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References
C. Regazzoni, V. Ramesh, and G.L. Foresti, “Special issue on video communications, processing, and understanding for third generation surveillance systems”, Proceeding of the IEEE, vol. 89, n. 10, 2001.
R.T Collins, A.J. Lipton, H. Fujiyoshi, and T. Kanade, “Special Section on Video Surveillance”, IEEE Transactions of Pattern Analysis and Machine Intelligence, Vol. 22, n. 8, August 2001.
G.L. Foresti, P. Mahonen and CS. Regazzoni, Multimedia Video-Based Surveillance Systems: from User Requirements to Research Solutions, Kluwer Academic Publishers, 2000.
D.N. Jayasimha, S.S. Iyengar, and R.L. Kashyap, “Information integration and synchronization in distributed sensor netwoks”, IEEE Transactions on System, Man, and Cybernetics, Vol. 21, n. 21, pp. 1032–1043, Sept/Oct 1991.
A. Knoll and J. Meinkoehn, “Data fusion using large multi-agent networks: an analysis of network structure and performance”, in Proceedings of the International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), pp.113–120, Las Vegas, NV, Oct.2–5 1994.
H Qi, S. Iyengar, and K. Chakrhbarty, “Multiresolution data integration using mobile agents in distributed sensor networks”, IEEE Transaction on Systems, Man, and Cybernetics — Part C: Applications and Reviews, Vol. 31, No. 3, pp. 383–391, 2001.
G.L. Foresti, “Real-time detection of multiple moving objects in complex image sequences”, International Journal of Imaging Systems and Technology, Vol. 10, pp. 305–317, 1999.
G.L. Foresti, “Object recognition and tracking for remote video surveillance”, IEEE Transaction on Circuits and Systems for Video Technology, Vol. 9, No. 7, 1999, pp. 1045–1062.
G.L. Foresti, C. Micheloni, and L. Snidaro, “Adaptive high order neural trees for pattern recognition”, in Proceedings of the International Conference on Pattern Recognition (ICPR), Quebec City, Canada, August 2002.
T. Wada and T. Matsuyama, “Multiobject behavior recognition by event driven selective attention method”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.22, n. 8, pp. 873–887, August 2000.
G. Medioni, I. Cohen, F. Brénond, S. Hongeng and R. Nevatia, “Event detection and analysis from video streams”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 23, n. 8, pp. 873–889, August 2001.
R. Wesson, F.Hayes-Roth, J.W. Burge, C. Stasz, and C.A. Sunshine, “Network structures for distributed situation assessment”, IEEE Transactions on System, Man, and Cybernetics, Vol. 11, n. 1, pp. 5–23, January 1981.
H.Qi, S. S. Iyengar, K. Chakrabarty, “Distributed Snesor Networks — A review of recent research”, Journal of the Franklin Institute, Vol. 338, pp. 729–750, March 2001.
L. Prasad, S. S. Iyengar, R. L. Kashyap, and R. N. Madan, “Functional characterization of sensor integration in distributed sensor networks”, IEEE Transactions on System, Man, and Cybernetics, Vol.21, n. 5, pp. 1082–1087, Sept/Oct. 1991
S.S. Iyengar, D.N. Jayasimha, and D. Nadig, “A versatile architecture for the distributed sensor integration problem”, IEEE Transactions on Computers, Vol. 43, n. 2, pp. 175–185, February 1994.
R.T. Collins, A.J. Lipton, H. Fujiyoshi and T. Kanade, “A system for video surveillance and monitoring,” Proceedings of the IEEE, Vol. 89, pp. 1456–1477, October 2001.
K. Skiestad and R. Jain, “Illumination independent change detection for real world image sequences”, Computer Vision Graphics and Image Processing, vol. 46, pp. 387–399,1989.
P.L. Rosin and T. Ellis, “Image difference threshold strategies and shadow detection”, in Proceedings of the 6th British Machine Vision Conference. 1995, pp. 347–356, BMVA Press.
L. Snidaro and G.L. Foresti, “Real-time thresholding with Euler numbers”, Pattern Recognition Letters, Vol. 24, n. 9–10, pp. 1533–1544, June 2003.
C. Micheloni, G.L. Foresti, and L. Snidaro, “A cooperative multi-camera system for video-surveillance of parking lots”, in Proceedings of the IDSS conference, London, February 2003.
M. E. Liggins II, C. Chong, I. Kadar, M. G. Alford, V. Vannicola, S. Thomopoulos, “Distributed fusion architectures and algorithms for target tracking”, Proceedings of the IEEE, Vol. 85, n. 1, pp. 95–107, January 1997.
Z. Chair and P. K. Varshney, “Optimal data fusion in multiple sensors detection systems”, IEEE Transactions on Aerospace and Electronic Systems, Vol. AES-22, pp.98–101, January 1986.
P.K. Varshney, “Distributed Detection and Data Fusion”, Springer-Verlag, 1997
Y. Bar-Shalom and X. Li, “Multitarget-Multisensor Tracking: Principles and Techniques”, YBS Publishing, 1995.
Y. Bar-Shalom and W. D. Blair (editors), “Multitarget multisensor tracking: applications and advances Volume III”, Artech House, 2000.
D. Willner, C.B. Chang, and K.P. Dunn, “Kaiman filter algorithms for a multi-sensor system”, Proceedings of the IEEE Conference on Decision and Control, pp. 570–574, 1978.
K.C. Chang, R.K. Sana, and Y. Bar-Shalom, “On optimal track-to-track fusion”, IEEE Transactions on Aerospace and Electronic Systems, Vol. AES-33, n. 4, pp. 1271–1275, October 1997.
K.C. Chang, Zhi Tian, and R.K. Sana, “Performance evaluation of track fusion with information filter”, in Proceedings of the International Conference on Multisource-Multisensor Information Fusion, pp. 648–655, July 1998.
R. Tsai, “A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses”, IEEE Journal of Robotics and Automation, Vol. RA-3, n. 4, pp. 323–344,1987.
O.D. Faugeras, Q.-T. Luong, S.J. Maybank “Camera Self-Calibration: Theory and Experiments,” Proceedings of European Conference on Computer Vision, pp. 321–334, 1992.
Gary Bradski, “Computer Vision Face Tracking for Use in a Perceptual Interface”, Intel Technology Journal, 2nd Quarter, 1998.
Dorin Comanesciu, V. Ramesh and Peter Meer, “Real-time Tracking of Non-Rigid Objects using Mean Shift,” IEEE Conference on Computer Vision and Pattern Recognition, Hilton Head, South Carolina, 2000.
S.S. Balckman, “Multiple-target tracking with radar applications”, Artech House, 1986
A.B. Poore, “Multi-dimensional assignment formulation of data association problems arising from multi-target and multi-sensor tracking”, Computational Optimization and Applications, Vol. 3, pp- 27–57, 1994.
Alan Lipton, “Local Application of Optic Flow to Analyze Rigid vs Non-Rigid Motion,” in ICCV Workshop on Frame-Rate Vision, Corfu, Greece, September 1999.
I. Mikic, S. Santini, and R. Jain, “Tracking objects in 3d using multiple camera views”, in Proceedings of ACCV, January 2000.
S.L. Dockstader and A.M. Tekalp, “Multiple Camera Tracking of Interacting and Occluded Human Motion”, Proceedings of the IEEE, Vol. 89, n. 10, pp. 1441–1455, 2001.
A. Mittal and L. S. Davis, “M2tracker: A multi-view approach to segmenting and tracking people in a cluttered scene”, International Journal of Computer Vision, vol. 51, no. 3, Feb/March 2003.
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Foresti, G.L., Snidaro, L. (2003). A Distributed Sensor Network for Video Surveillance of Outdoors. In: Foresti, G.L., Regazzoni, C.S., Varshney, P.K. (eds) Multisensor Surveillance Systems. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-0371-2_1
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DOI: https://doi.org/10.1007/978-1-4615-0371-2_1
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