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Sensibility Analysis of an Object Movement Forecast Approximation in Real Image Sequences

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Computer Aided Systems Theory - EUROCAST 2009 (EUROCAST 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5717))

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Abstract

The objective of this paper is to analyse the influence of the different parameters used for an overall approach to forecasting a future position of the mobile objects of an image sequence after processing the previous images to it. Our approximation uses classical techniques such as optical flow to extract object’s trajectories and velocities and autoregressive algorithms to build the predictive model. Applications to outdoor scenarios are possible, for videos where stationary cameras are used and moving objects follow an affine displacement field. In this work, traffic sequences with different meteorological conditions are studied.

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References

  1. Crespo, J.L., Zorrilla, M., Bernardos, P., Mora, E.: Moving objects forecast in image sequences using autoregressive algorithms. The Visual Computer 25, 309–323 (2009), http://dx.doi.org/10.1007/s00371-008-0270-8

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  2. Group Prof. Dr. H.-H. Nagel, Institut fuer Algorithmen und Kognitive Systeme, Fakultaet fuer Informatik Universitaet Karlsruhe (TH). Traffic intersection sequence, http://i21www.ira.uka.de/imagesequences/

  3. Barron, J.L., Fleet, D.J., Beauchemin, S.: Performance of Optical Flow Techniques. Int. J. Computer Vis. 12(1), 43–77 (1994)

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Author information

Authors and Affiliations

  1. Department of Applied Mathematics and Computer Sciences, University of Cantabria, Avda. de los Castros s/n, 39005, Santander, Spain

    J. L. Crespo, P. Bernardos & E. Mora

Authors
  1. J. L. Crespo
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  2. P. Bernardos
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  3. E. Mora
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Editor information

Editors and Affiliations

  1. Instituto Universitario de Ciencias y Tecnologías Cibernéticas, Universidad de Las Palmas de Gran Canaria, Campus de Tafira, 35017, Las Palmas de Gran Canaria, Las Palmas, Spain

    Roberto Moreno-Díaz  & Alexis Quesada-Arencibia  & 

  2. Institute of Systems Science, Johannes Kepler University Linz, Altenbergerstrasse 69, 4040, Linz, Austria

    Franz Pichler

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© 2009 Springer-Verlag Berlin Heidelberg

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Crespo, J.L., Bernardos, P., Mora, E. (2009). Sensibility Analysis of an Object Movement Forecast Approximation in Real Image Sequences. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory - EUROCAST 2009. EUROCAST 2009. Lecture Notes in Computer Science, vol 5717. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04772-5_46

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  • DOI: https://doi.org/10.1007/978-3-642-04772-5_46

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04771-8

  • Online ISBN: 978-3-642-04772-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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