Camera Calibration and Navigation in Networks of Rotating Cameras

  • Adam Gudyś
  • Kamil Wereszczyński
  • Jakub Segen
  • Marek Kulbacki
  • Aldona Drabik
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9012)

Abstract

Camera calibration is one of the basic problems concerning intelligent video analysis in networks of multiple cameras with changeable pan and tilt (PT). Traditional calibration methods give satisfactory results, but are human labour intensive. In this paper we introduce a method of camera calibration and navigation based on continuous tracking, which requires minimal human involvement. After the initial pre-calibration, it allows the camera pose to be calculated recursively in real time on the basis of the current and previous camera images and the previous pose. The method is suitable if multiple coplanar points are shared between views from neighbouring cameras, which is often the case in the video surveillance systems.

Keywords

Gaussian Mixture Model Camera Calibration Camera Parameter Video Surveillance System Reprojection Error 
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 International Publishing Switzerland 2015

Authors and Affiliations

  • Adam Gudyś
    • 1
    • 2
  • Kamil Wereszczyński
    • 1
    • 2
  • Jakub Segen
    • 1
  • Marek Kulbacki
    • 1
  • Aldona Drabik
    • 1
  1. 1.Polish-Japanese Academy of Information TechnologyWarsawPoland
  2. 2.Institute of InformaticsSilesian University of TechnologyGliwicePoland

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