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An Edge-Based Moving Object Detection for Video Surveillance

  • M. Julius Hossain
  • Oksam Chae
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3776)

Abstract

We present a novel approach for extracting moving objects, suitable for intrusion detection and video surveillance systems. Proposed method is characterized by robustness to illumination changes, acclimation to the changes in constituents of background and significantly reduced false alarm rate. We extract pieces of edge information from images and represent these segments with efficiently designed edge classes. Proposed algorithm for matching and updating of edges incorporates the robustness and resilience to intrusion detection system, which is illustrated by the results of our experiments.

Keywords

False Alarm Rate Intrusion Detection Intrusion Detection System Video Surveillance Edge Image 
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 2005

Authors and Affiliations

  • M. Julius Hossain
    • 1
  • Oksam Chae
    • 1
  1. 1.Department of Computer EngineeringKyung Hee UniversityKyunggi-doKorea

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