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Fragments Based Parametric Tracking

  • C. Prakash
  • Balamanohar Paluri
  • S. Nalin Pradeep
  • Hitesh Shah
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4843)

Abstract

The paper proposes a parametric approach for color based tracking. The method fragments a multimodal color object into multiple homogeneous, unimodal, fragments. The fragmentation process consists of multi level thresholding of the object color space followed by an assembling. Each homogeneous region is then modelled using a single parametric distribution and the tracking is achieved by fusing the results of the multiple parametric distributions. The advantage of the method lies in tracking complex objects with partial occlusions and various deformations like non-rigid, orientation and scale changes. We evaluate the performance of the proposed approach on standard and challenging real world datasets.

Keywords

Probability Density Function IEEE Computer Society Gaussian Mixture Model Separability Factor Partial Occlusion 
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 2007

Authors and Affiliations

  • C. Prakash
    • 1
  • Balamanohar Paluri
    • 1
  • S. Nalin Pradeep
    • 1
  • Hitesh Shah
    • 1
  1. 1.Sarnoff Innovative Technologies Private Limited, Asha arch, Magrath Road, Bangalore-560025India

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