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A Robust Particle Filter-Based Face Tracker Using Combination of Color and Geometric Information

  • Bogdan Raducanu
  • Y. Jordi Vitrià
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4141)

Abstract

Particle filtering is one of the most successful approaches for visual tracking. However, so far, most particle-filter trackers are limited to a single cue. This can be a serious limitation, since it can reduce the tracker’s robustness. In the current work, we present a multiple cue integration approach applied for face tracking, based on color and geometric properties. We tested it over several video sequences and we show it is very robust against changes in face appearance, scale and pose. Moreover, our technique is proposed as a contextual information for human presence detection.

Keywords

Video Sequence Particle Filter Face Detector Color Histogram Visual Tracking 
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 2006

Authors and Affiliations

  • Bogdan Raducanu
    • 1
  • Y. Jordi Vitrià
    • 1
    • 2
  1. 1.Centre de Visió per ComputadorEdifici O – Campus UAB 
  2. 2.Departament de Cienciès de la ComputacióUniversitat Autònoma de BarcelonaBarcelonaSpain

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