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A Study on Detecting Moving Objects using Multiple Fisheye Cameras  

Bae, Kwang-Hyuk (School of Electrical and Electronic Engineering, Yonsei University, Biometrics Engineering Research Center)
Suhr, Jae-Kyu (School of Electrical and Electronic Engineering, Yonsei University, Biometrics Engineering Research Center)
Park, Kang-Ryoung (Dept. of Electronics Engineering, Dongguk University, Biometrics Engineering Research Center)
Kim, Jai-Hie (School of Electrical and Electronic Engineering, Yonsei University, Biometrics Engineering Research Center)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.45, no.4, 2008 , pp. 32-40 More about this Journal
Abstract
Since vision-based surveillance system uses a conventional camera which has a narrow field of view, it is difficult to apply it into the environment whose the ceiling is low and the monitoring area is wide. To overcome this problem, the method of increasing the number of camera causes the increase of the cost and the difficulties of camera set-up For these problems, we propose a new surveillance system based on multiple fisheye cameras which have 180 degree field of view. The proposed method handles occlusions using the homography relation between the multiple fisheye cameras. In the experiment, four fisheye cameras were set up within the area of $17{\times}14m$ at height of 2.5 m and five people wandered and crossed with one another within this area. The detection rates of the proposed system was 83.0% while that of a single camera was 46.1%.
Keywords
Surveillance; Multiple Fisheye cameras; Homography;
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