한국정보처리학회:학술대회논문집 (Proceedings of the Korea Information Processing Society Conference)
- 한국정보처리학회 2011년도 추계학술발표대회
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- Pages.347-350
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- 2011
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- 2005-0011(pISSN)
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- 2671-7298(eISSN)
DOI QR Code
Color Space Based Objects Detection System from Video Sequences
- Alom, Md. Zahangir (Division of Electronics and Information Engineering Chonbuk National University) ;
- Lee, Hyo Jong (Center for Advanced Image and Information Technology Chonbuk National University)
- 발행 : 2011.11.11
초록
This paper propose a statistical color model of background extraction base on Hue-Saturation-Value(HSV) color space, instead of the traditional RGB space, and shows that it provides a better use of the color information. HSV color space corresponds closely to the human perception of color and it has revealed more accuracy to distinguish shadows [3] [4]. The key feature of this segmentation method is based on processing hue component of color in HSV color space on image area. The HSV color model is used, its color components are efficiently analyzed and treated separately so that the proposed algorithm can adapt to different environmental illumination condition and shadows. Polar and linear statistical operations are used to calculate the background from the video frames. The experimental results show that the proposed background subtraction method can automatically segment video objects robustly and accurately in various illuminating and shadow environments.
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