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

다중 구간 샘플링에 기반한 동적 배경 영상에 강건한 배경 제거 알고리즘

  • Lee, Haeng-Ki (Suseong University, Department of Radiological Technology) ;
  • Choi, Young Kyu (Korea University of Technology and Education, School of Computer Science and Engineering)
  • 이행기 (수성대학교 방사선과) ;
  • 최영규 (한국기술교육대학교 컴퓨터공학부)
  • Received : 2020.05.27
  • Accepted : 2020.06.11
  • Published : 2020.06.30

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

References

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