Abstract
In this paper, we will discuss the viability of a proposed algorithm to segment trajectories based on a study case of recorded opportunity traffic. This segmentation is the first step of the reconstruction process of the trajectory. Our algorithm will try to apply specific models for the three movement possibilities in our trajectories: uniform, turn and acceleration. We will cover specifically the parameters and viability (as a part of the general algorithm) of the uniform movement segmentation, centring our study in the appropriate descriptor attribute extracted from available samples expressed in its original domain. In particular, we detail a comparison between a general statistic such as a correlation coefficient against the residue of best linear unbiased estimator.
This work was supported in part by Projects MADRINET, TEC2005-07186-C03-02, SINPROB, TSI2005-07344-C02-02.
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References
Desmond-Kennedy, A., Gardner, B.: Tools for analysing the performance of ATC surveillance radars. Specifying and Measuring Performance of Modern Radar Systems (Ref. No. 1998/221), IEE Colloquium (March 6, 1998)
Garcia, J., Perez Concha, O., Molina, J.M., de Miguel, G.: Trajectory classification based on machine-learning techniques over tracking data. In: 9th International Conference on Information Fusion, Florence, Italy (July 2006)
Pérez, O., García, J., Molina, J.M.: Neuro-fuzzy Learning Applied to Improve the Trajectory Reconstruction Problem. In: International Conference on Computational Intelligence for Modelling, Control and Automation, CIMCA 2006, Sydney, Australia (December 2006)
Garcia, J., Molina, M., de Miguel, G., Besada, A.: Model-Based Trajectory Reconstruction using IMM Smoothing and Motion Pattern Identification. In: 10th International Conference on Information Fusion, Quebec, Canada (July 2007)
Kay, S.M.: Fundamentals of Statistical Signal Processing: Estimation Theory. Prentice-Hall, Englewood Cliffs (1993)
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Guerrero, J.L., García, J. (2009). Domain Transformation for Uniform Motion Identification in Air Traffic Trajectories. In: Corchado, J.M., Rodríguez, S., Llinas, J., Molina, J.M. (eds) International Symposium on Distributed Computing and Artificial Intelligence 2008 (DCAI 2008). Advances in Soft Computing, vol 50. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85863-8_47
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DOI: https://doi.org/10.1007/978-3-540-85863-8_47
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85862-1
Online ISBN: 978-3-540-85863-8
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