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http://dx.doi.org/10.9728/dcs.2018.19.4.757

Foreground Extraction in Thermal Videos Based on Selective Histogram Bins  

Yu, Gwang-Hyun (Department of Electronics and Computer Engineering, Chonnam National University)
Zaheer, Muhammd Zaigham (Department of Computer Software from the University of Science and Technology (UST))
Kim, Jin-Young (Department of Electronics and Computer Engineering, Chonnam National University)
Sin, Do-Seong (DefenseTech)
Publication Information
Journal of Digital Contents Society / v.19, no.4, 2018 , pp. 757-770 More about this Journal
Abstract
Foreground extraction is the most significant step in thermal imaging based surveillance systems. This step needs to be efficient in terms of time and memory consumption in order for the system to provide real time results but usually this efficiency reciprocates with the accurateness of the ROI detection. In this study, novel selective histogram bins based two background & foreground separation approaches for thermal videos processing have been proposed which exploit the temporal-consistency property of the thermal images in a given environment and can save over 80% memory than their simplest counterpart temporal median filtering.
Keywords
Foreground extraction; Thermal videos; Histogram bins; Surveillance systems;
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