Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)
- 2007.07a
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- Pages.249-250
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- 2007
Improved non-parametric Model for Moving object segmentation by null hypothesis
귀무가설을 이용한 비모수 움직임 영상 검출 모델의 개선
- Lee, Ki-Sun (Electronic Engineering, Inha Univ.) ;
- Na, Sang-Il (Electronic Engineering, Inha Univ.) ;
- Lee, Jun-Woo (Electronic Engineering, Inha Univ.) ;
- Jeong, Dong-Seok (Electronic Engineering, Inha Univ.)
- Published : 2007.07.11
Abstract
Background subtraction is a method typically used to segment moving regions in image sequences taken from a static camera by comparing each new frame to a model of the scene background. We present a improved non-parametric background model by null hypothesis. Evaluation shows that this approach achieves very sensitive detection with very low false alarm rates.
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