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Issue No.05 - Sept.-Oct. (2012 vol.27)
pp: 10-18
N. Anjum , Queen Mary Univ. of London, London, UK
A. Cavallaro , Queen Mary Univ. of London, London, UK
ABSTRACT
An algorithm determines the relative position and orientation of cameras in a network on the basis of observed and estimated trajectory segments.
INDEX TERMS
sensor placement, cameras, estimated trajectory segments, camera network, automated localization, Cameras, Iterative algorithms, Calibration, Trajectory, Degradation, Computerized monitoring, Robustness, Telecommunication traffic, Traffic control, Remote monitoring, Kalman filter, camera localization, camera orientation, sensor calibration, nonoverlapping networks
CITATION
N. Anjum, A. Cavallaro, "Automated Localization of a Camera Network", IEEE Intelligent Systems, vol.27, no. 5, pp. 10-18, Sept.-Oct. 2012, doi:10.1109/MIS.2010.92
REFERENCES
1. A. Dore and C. Regazzoni, "Interaction Analysis with a Bayesian Trajectory Model," IEEE Intelligent Systems, vol. 25, no. 3, 2010, pp. 32–40.
2. D. Marinakis and G. Dudek, "Self-Calibration of a Vision-Based Sensor Network," Image and Vision Computing, vol. 27, nos. 1–2, 2009, pp. 116–130.
3. R. Pflugfelder and H. Bischof, "Localization and Trajectory Reconstruction in Surveillance Cameras with Nonoverlapping Views," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 32, no. 4, 2010, pp. 709–721.
4. A. Rahimi, B. Dunagan, and T. Darrell, "Simultaneous Calibration and Tracking with a Network of Non-overlapping Sensors," Proc. IEEE Conf. Computer Vision and Pattern Recognition (CVPR 04), vol. 1, IEEE, 2004, pp. 187–104.
5. H. Zhou, M. Taj, and A. Cavallaro, "Target Detection and Tracking with Heterogeneous Sensors," IEEE J. Selected Topics in Signal Processing, vol. 2, no. 4, 2008, pp. 505–513.
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