Detecting moving objects with an omnidirectional camera based on adaptive background subtraction

Authors:
Kazumasa Yamazawa;Naokazu Yokoya
Affiliations:
Nara Institute of Science and Technology, Graduate School of Information Science, Ikoma, Nara, Japan;Nara Institute of Science and Technology, Graduate School of Information Science, Ikoma, Nara, Japan
Venue:
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
Year:
2003

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Abstract

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.