Detecting Moving Objects with an Omnidirectional Camera Based on Adaptive Background Subtraction

  • Kazumasa Yamazawa
  • Naokazu Yokoya
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2749)


This paper describes a new method for detecting moving objects with an omnidirectional camera. The proposed method uses a fixed omnidirectional camera which can acquire images surrounding the camera and a background subtraction technique based on adaptively updating background images. In subtracting the background image from the input image, we consider the oscillation of intensity so that the proposed method can robustly detect moving objects under the condition that there are fluorescent lights and incoming lights from windows. In experiments, moving objects have been successfully detected in indoor environments.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Kazumasa Yamazawa
    • 1
  • Naokazu Yokoya
    • 1
  1. 1.Graduate School of Information ScienceNara Institute of Science and TechnologyTakayama, Ikoma, NaraJapan

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