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http://dx.doi.org/10.9717/kmms.2020.23.3.395

Motion-based ROI Extraction with a Standard Angle-of-View from High Resolution Fisheye Image  

Ryu, Ar-Chim (Dept. of Computer Engineering, Kumoh National Institute of Technology)
Han, Kyu-Phil (Dept. of Computer Engineering, Kumoh National Institute of Technology)
Publication Information
Journal of Korea Multimedia Society / v.23, no.3, 2020 , pp. 395-401 More about this Journal
Abstract
In this paper, a motion-based ROI extraction algorithm from a high resolution fisheye image is proposed for multi-view monitoring systems. Lately fisheye cameras are widely used because of the wide angle-of-view and they basically provide a lens correction functionality as well as various viewing modes. However, since the distortion-free angle of conventional algorithms is quite narrow due to the severe distortion ratio, there are lots of unintentional dead areas and they require much computation time in finding undistorted coordinates. Thus, the proposed algorithm adopts an image decimation and a motion detection methods, that can extract the undistorted ROI image with a standard angle-of-view for the fast and intelligent surveillance system. In addition, a mesh-type ROI is presented to reduce the lens correction time, so that this independent ROI scheme can parallelize and maximize the processor's utilization.
Keywords
ROI; Fisheye Lens; Distortion Correction; Standard Angle-of-view; Motion Detection;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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