S-Space College of Engineering/Engineering Practice School (공과대학/대학원) Dept. of Electrical and Computer Engineering (전기·정보공학부) Journal Papers (저널논문_전기·정보공학부)
Robust moving object detection against fast illumination change
Cited 27 time in Web of Science Cited 37 time in Scopus
- Issue Date
- Elsevier Inc.
- Computer Vision and Image Understanding Vol.116 No.2, pp. 179-193
- 복합학 ; Illumination change ; Auto-exposure ; Chromaticity difference model ; Brightness ratio model
- To solve the problem due to fast illumination change in a visual surveillance system, we propose a novel moving object detection algorithm for which we develop an illumination change model, a chromaticity difference model, and a brightness ratio model. When fast illumination change occurs, background pixels as well as moving object pixels are detected as foreground pixels. To separate detected foreground pixels into moving object pixels and false foreground pixels, we develop a chromaticity difference model and a brightness ratio model that estimates the intensity difference and intensity ratio of false foreground pixels, respectively. These models are based on the proposed illumination change model. Based on experimental results, the. proposed method shows excellent performance under various illumination change conditions while operating in real-time.
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