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http://dx.doi.org/10.13067/JKIECS.2020.15.3.563

Background Modeling for Object Detection from Tidal Flat Images  

Park, Sang-Hyun (Dept. Multimedia Engineering, Sunchon National University)
Publication Information
The Journal of the Korea institute of electronic communication sciences / v.15, no.3, 2020 , pp. 563-572 More about this Journal
Abstract
Tidal flats provide important indicators that inform the condition of the environment, so we need to monitor them systematically. Currently, the projects to monitor tidal flats by periodically observing the creatures in tidal flats are underway. Still, it is done in a way that people observe directly, so it is not systematic and efficient. In this paper, we propose a background modeling method for tidal flat images that can be applied to a system that automatically monitors creatures living in tidal flats using sensor network technology. The application of sensor network technology makes it difficult to collect enough images due to the limitation of transmission capacity. Therefore, in this paper, we propose a method to effectively model the background and generate foreground maps by reflecting the characteristics of tidal flat images in the situation where the number of images to be used for analysis is small. Experimental results show that the proposed method models the background of a tidal flat image easily and accurately.
Keywords
Background Modeling; Codebook; Marine Life Recognition; Tidal Flat Image;
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Times Cited By KSCI : 4  (Citation Analysis)
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