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An Improved Real-Time Contour Tracking Algorithm Using Fast Level Set Method

  • Myo Thida
  • Kap Luk Chan
  • How-Lung Eng
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4319)

Abstract

Human contour provides important information in high level vision tasks such as activity recognition and human computer interaction where detailed analysis of shape deformation is required. In this paper, a real time region-based contour tracking algorithm is presented. The main advantage of our algorithm is the ability of tracking nonrigid objects such as human using an adaptive external speed function with fast level set method. The weighting parameter, λ i is adjusted to accommodate the situations in which the object being tracked and the background have similar intensity. Experimental results show the better performance of the proposed algorithm with adaptive weights.

Keywords

Active Contour Active Contour Model Subsequent Frame Speed Function Geodesic Active Contour 
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

  • Myo Thida
    • 1
  • Kap Luk Chan
    • 1
  • How-Lung Eng
    • 2
  1. 1.Center for Signal Processing, Division of Information Engineering, School of Electrical and Electronic EngineeringNanyang Technological UniversitySingapore
  2. 2.Institute for Infocomm ResearchSingapore

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