The Visual Computer

, Volume 25, Issue 4, pp 309–323

Moving objects forecast in image sequences using autoregressive algorithms

  • José Luis Crespo
  • Marta Zorrilla
  • Pilar Bernardos
  • Eduardo Mora
Original Article

DOI: 10.1007/s00371-008-0270-8

Cite this article as:
Crespo, J.L., Zorrilla, M., Bernardos, P. et al. Vis Comput (2009) 25: 309. doi:10.1007/s00371-008-0270-8

Abstract

The objective of this paper is to present an overall approach to forecasting the future position of the moving objects of an image sequence after processing the images previous to it. The proposed method makes use of classical techniques such as optical flow to extract objects’ trajectories and velocities, and autoregressive algorithms to build the predictive model. Our method can be used in a variety of applications, where videos with stationary cameras are used, moving objects are not deformed and change their position with time. One of these applications is traffic control, which is used in this paper as a case study with different meteorological conditions to compare with.

Keywords

Tracking and prediction Image sequence analysis Causal images Autoregressive model 

Copyright information

© Springer-Verlag 2008

Authors and Affiliations

  • José Luis Crespo
    • 1
  • Marta Zorrilla
    • 2
  • Pilar Bernardos
    • 1
  • Eduardo Mora
    • 1
  1. 1.Applied Mathematics and Computer Science DepartmentUniversity of CantabriaSantanderSpain
  2. 2.Mathematics, Statistics and Computation DepartmentUniversity of CantabriaSantanderSpain

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