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Automatic Extraction of Moving Objects Using Distributed Genetic Algorithms

  • Eun Yi Kim
  • Se Hyun Park
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2690)

Abstract

This paper proposes an automatic segmentation method using genetic algorithms that can automatically extract the moving objects and track them. Each frame of the video sequence is decomposed into the objects forming the scene, which are tracked through a whole video sequence. The proposed method is evaluated on a number of different input data and is applied for car detection and people detection in the video surveillance system. The obtained results have confirmed the validity of the proposed method.

Keywords

Video Sequence Previous Frame Video Object Video Surveillance System Foreground Region 
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 2003

Authors and Affiliations

  • Eun Yi Kim
    • 1
  • Se Hyun Park
    • 2
  1. 1.College of Internet and MediaKonkuk Univ.SeoulKorea
  2. 2.Division of Computer Engineering, College of Electronic and InformationChosun Univ.GwangjuKorea

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