A New Approach to the Template Update Problem

  • Cayetano Guerra
  • Mario Hernández
  • Antonio Domínguez
  • Daniel Hernández
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3522)

Abstract

Visual tracking based on pattern matching is a very used computer vision technique in a wide range of applications [4]. Updating the template of reference is a crucial aspect for a correct working of this kind of algorithms. This paper proposes a new approach to the updating problem in order to achieve a better performance and robustness of tracking. This is carried out using a representation technique based on second order isomorphisms. The proposed technique has been compared experimentally with other existing approaches with excellent results. The most important improvements of this approach is its parameter-free working, therefore no parameters have to be set up manually in order to tune the process. Besides, objects to be tracked can be rigid or deformable, the system is adapted automatic and robustly to any situation.

Keywords

Visual Object Absolute Minimum Visual Tracking Distal Space Tracking Process 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Cayetano Guerra
    • 1
  • Mario Hernández
    • 1
  • Antonio Domínguez
    • 1
  • Daniel Hernández
    • 1
  1. 1.IUSIANI – Instituto Universitario de Sistemas Inteligentes y Aplicaciones Numéricas en IngenieríaUniv. de Las Palmas de Gran CanariaLas Palmas de Gran CanariaSpain

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