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Video Object Segmentation Using Multiple Features

  • Alvaro Pardo
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3287)

Abstract

In this paper we present an algorithm for semi-automatic object extraction from video sequences using multiple features. This work is part of an ongoing effort to study video segmentation using multiple features, and the relative contribution of each one of them. For this reason, the algorithm here presented will be very simple and made up from of the shelf algorithms. We will show that even with a simple algorithm, with the right steps, we can successfully segment video objects in moderate complex sequences.

Keywords

Gaussian Mixture Model Motion Estimation Multiple Feature Object Shape Video Object 
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 2004

Authors and Affiliations

  • Alvaro Pardo
    • 1
  1. 1.IIE & IMERL Faculty of EngineeringUniversidad de la República, CC 30, and Faculty of Engineering and Technologies, Universidad Católica del UruguayMontevideoUruguay

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