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http://dx.doi.org/10.17661/jkiiect.2016.9.5.472

Image segmentation algorithm based on weight information  

Kim, Sun-jib (Department of IT, Information and Communication Engineering, Hansei University)
Park, Byung-Joon (Department of Computer Software, Seoil University)
Publication Information
The Journal of Korea Institute of Information, Electronics, and Communication Technology / v.9, no.5, 2016 , pp. 472-477 More about this Journal
Abstract
The most important and critical to the performance of video surveillance systems is to be detected exactly how much. In order to accurately track the object must be able to accurately separate the background and object. However, the system itself rather than the human vision exactly distinguish the object and the background, to assess the situation, it is not easy. If we can accurately detect the background and the object, to be able to accurately track an object, it is possible to increase the reliability of the system, have a significant impact on the success of the entire production system. In this paper, we propose a way to distinguish more precisely the background and the object being to determine the background environment changes more accurately.
Keywords
Image Processing; Object tracking; Figure-ground segregation; Detection System; CCTV;
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