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http://dx.doi.org/10.9708/jksci.2015.20.7.017

A Study on Improving the Adaptive Background Method for Outdoor CCTV Object Tracking System  

Jung, Do-Wook (Dept. of Global Media, Soongsil University)
Choi, Hyung-Il (Dept. of Global Media, Soongsil University)
Publication Information
Journal of the Korea Society of Computer and Information / v.20, no.7, 2015 , pp. 17-24 More about this Journal
Abstract
In this paper, we propose a method to solve ghosting problem. To generate adaptive background, using an exponentially decreasing number of frames, may improve object detection performance. To extract moving objects from the background by using a differential image, detection error may be caused by object rotations or environmental changes. A ghosting problem can be issue-driven when there are outdoor environmental changes and moving objects. We studied that a differential image by adaptive background may reduce the ghosting problem. In experimental results, we test that our method can solve the ghosting problem.
Keywords
Adaptive background subtraction; object tracking; Object detection; adaptive background;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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