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  • Research Article
  • Open Access

A Multitarget Tracking Video System Based on Fuzzy and Neuro-Fuzzy Techniques

  • 1Email author,
  • 1,
  • 2 and
  • 2
EURASIP Journal on Advances in Signal Processing20052005:640283

https://doi.org/10.1155/ASP.2005.2341

  • Received: 19 December 2003
  • Published:

Abstract

Automatic surveillance of airport surface is one of the core components of advanced surface movement, guidance, and control systems (A-SMGCS). This function is in charge of the automatic detection, identification, and tracking of all interesting targets (aircraft and relevant ground vehicles) in the airport movement area. This paper presents a novel approach for object tracking based on sequences of video images. A fuzzy system has been developed to ponder update decisions both for the trajectories and shapes estimated for targets from the image regions extracted in the images. The advantages of this approach are robustness, flexibility in the design to adapt to different situations, and efficiency for operation in real time, avoiding combinatorial enumeration. Results obtained in representative ground operations show the system capabilities to solve complex scenarios and improve tracking accuracy. Finally, an automatic procedure, based on neuro-fuzzy techniques, has been applied in order to obtain a set of rules from representative examples. Validation of learned system shows the capability to learn the suitable tracker decisions.

Keywords and phrases

  • fuzzy-knowledge-based system
  • neuro-fuzzy learning
  • video image tracking
  • data association

Authors’ Affiliations

(1)
Departamento de Informática, Universidad Carlos III de Madrid, Avda de la Universidad Carlos III 22, Colmenarejo, 28270, Spain
(2)
E.T.S.I. Telecomunicación, Universidad Politécnica de Madrid, Ciudad Universitaria s/n, Madrid, 28040, Spain

Copyright

© García et al. 2005

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