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A Background Subtraction Algorithm for Fence Monitoring Surveillance Systems  

Lee, Bok Ju (Korea University of Technology and Education, School of Computer Science and Engineering)
Chu, Yeon Ho (Korea University of Technology and Education, School of Computer Science and Engineering)
Choi, Young Kyu (Korea University of Technology and Education, School of Computer Science and Engineering)
Publication Information
Journal of the Semiconductor & Display Technology / v.14, no.3, 2015 , pp. 37-43 More about this Journal
Abstract
In this paper, a new background subtraction algorithm for video based fence monitoring surveillance systems is proposed. We adopt the sampling based background subtraction technique and focus on the two main issues: handling highly dynamic environment and handling the flickering nature of pulse based IR (infrared) lamp. Natural scenes from fence monitoring system are usually composed of several dynamic entities such as swaying trees, moving water, waves and rain. To deal with such dynamic backgrounds, we utilize the confidence factor for each background value of the input image. For the flickering IR lamp, the original sampling based technique is extended to handle double background models. Experimental results revealed that our method works well in real fence monitoring surveillance systems.
Keywords
background subtraction; intelligent surveillance systems; highly dynamic environment; pulse based infrared lamp; sampling based algorithm;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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