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Omni-directional Surveillance and Motion Detection using a Fish-Eye Lens  

Cho, Seog-Bin (Department of Electronics Engineering Pusan National University)
Yi, Un-Kun (Department of Fire Protection and Safety Engineering, Busan Kyungsang College)
Baek, Kwang-Ryul (Department of Electronics Engineering Pusan National University)
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Abstract
In this paper, we developed an omni-directional surveillance and motion detection method. The fish-eye lens provides a wide field of view image. Using this image, the equi-distance model for the fish-eye lens is applied to get the perspective and panorama images. Generally, we must consider the trade-off between resolution and field of view of an image from a camera. To enhance the resolution of the result images, some kind of interpolation methods are applied. Also the moving edge method is used to detect moving objects for the object tracking.
Keywords
Fish-eye lens; surveillance; panorama; motion detection;
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