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Probabilistic Background Subtraction in a Video-based Recognition System
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  • Probabilistic Background Subtraction in a Video-based Recognition System
  • Probabilistic Background Subtraction in a Video-based Recognition System
저자명
Lee. Hee-Sung,Hong. Sung-Jun,Kim. Eun-Tai
간행물명
KSII Transactions on internet and information systems : TIIS
권/호정보
2011년|5권 4호|pp.782-804 (23 pages)
발행정보
한국인터넷정보학회
파일정보
정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

In video-based recognition systems, stationary cameras are used to monitor an area of interest. These systems focus on a segmentation of the foreground in the video stream and the recognition of the events occurring in that area. The usual approach to discriminating the foreground from the video sequence is background subtraction. This paper presents a novel background subtraction method based on a probabilistic approach. We represent the posterior probability of the foreground based on the current image and all past images and derive an updated method. Furthermore, we present an efficient fusion method for the color and edge information in order to overcome the difficulties of existing background subtraction methods that use only color information. The suggested method is applied to synthetic data and real video streams, and its robust performance is demonstrated through experimentation.