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http://dx.doi.org/10.5916/jkosme.2015.39.1.94

A study on implementation of background subtraction algorithm using LMS algorithm and performance comparative analysis  

Kim, Hyun-Jun (Department of Electrical & Electronics Engineering, Korea Maritime and Ocean University)
Gwun, Taek-Gu (G2ICT)
Joo, Yank-Ick (Division of Electrical & Electronics Engineering, Korea Maritime and Ocean University)
Seo, Dong-Hoan (Division of Electrical & Electronics Engineering, Korea Maritime and Ocean University)
Publication Information
Journal of Advanced Marine Engineering and Technology / v.39, no.1, 2015 , pp. 94-98 More about this Journal
Abstract
Recently, with the rapid advancement in information and computer vision technology, a CCTV system using object recognition and tracking has been studied in a variety of fields. However, it is difficult to recognize a precise object outdoors due to varying pixel values by moving background elements such as shadows, lighting change, and moving elements of the scene. In order to adapt the background outdoors, this paper presents to analyze a variety of background models and proposed background update algorithms based on the weight factor. The experimental results show that the accuracy of object detection is maintained, and the number of misrecognized objects are reduced compared to previous study by using the proposed algorithm.
Keywords
CCTV; Computer vision; Background update; Object detection;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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