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Determining Method of Factors for Effective Real Time Background Modeling  

Lee, Jun-Cheol (부천대학 인터넷과)
Ryu, Sang-Ryul (청운대학교 컴퓨터학과)
Kang, Sung-Hwan (경북대학교 컴퓨터공학과)
Kim, Sung-Ho (경북대학교 컴퓨터공학과)
Publication Information
Journal of KIISE:Software and Applications / v.34, no.1, 2007 , pp. 59-69 More about this Journal
Abstract
In the video with a various environment, background modeling is important for extraction and recognition the moving object. For this object recognition, many methods of the background modeling are proposed in a process of preprocess. Among these there is a Kumar method which represents the Queue-based background modeling. Because this has a fixed period of updating examination of the frame, there is a limit for various system. This paper use a background modeling based on the queue. We propose the method that major parameters are decided as adaptive by background model. They are the queue size of the sliding window, the sire of grouping by the brightness of the visual and the period of updating examination of the frame. In order to determine the factors, in every process, RCO (Ratio of Correct Object), REO (Ratio of Error Object) and UR (Update Ratio) are considered to be the standard of evaluation. The proposed method can improve the existing techniques of the background modeling which is unfit for the real-time processing and recognize the object more efficient.
Keywords
Background Modeling; Object Recognition; Surveillance System; Realtime Image Processing;
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