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A Robust Background Subtraction Algorithm for Dynamic Scenes based on Multiple Interval Pixel Sampling  

Lee, Haeng-Ki (Suseong University, Department of Radiological Technology)
Choi, Young Kyu (Korea University of Technology and Education, School of Computer Science and Engineering)
Publication Information
Journal of the Semiconductor & Display Technology / v.19, no.2, 2020 , pp. 31-36 More about this Journal
Abstract
Most of the background subtraction algorithms show good performance in static scenes. In the case of dynamic scenes, they frequently cause false alarm to "temporal clutter", a repetitive motion within a certain area. In this paper, we propose a robust technique for the multiple interval pixel sampling (MIS) algorithm to handle highly dynamic scenes. An adaptive threshold scheme is used to suppress false alarms in low-confidence regions. We also utilize multiple background models in the foreground segmentation process to handle repetitive background movements. Experimental results revealed that our approach works well in handling various temporal clutters.
Keywords
Background Subtraction; Temporal Clutter; Dynamic Background; Adaptive Threshold;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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