Open Access

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

  • Jesús García1Email author,
  • José M. Molina1,
  • Juan A. Besada2 and
  • Javier I. Portillo2
EURASIP Journal on Advances in Signal Processing20052005:640283

Received: 19 December 2003

Published: 25 August 2005


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

Departamento de Informática, Universidad Carlos III de Madrid
E.T.S.I. Telecomunicación, Universidad Politécnica de Madrid, Ciudad Universitaria s/n


© García et al. 2005