TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
Probabilistic Background Subtraction in a Video-based Recognition System |
| 영문제목(English Title) |
Probabilistic Background Subtraction in a Video-based Recognition System |
| 저자(Author) |
Heesung Lee
Sungjun Hong and Euntai Kim
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| 원문수록처(Citation) |
VOL 05 NO. 04 PP. 0782 ~ 0804 (2011. 04) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
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. |
| 키워드(Keyword) |
Background subtraction
probabilistic approach
belief
video-based recognition system
foreground detection.
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| 파일첨부 |
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