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Title of article :
Robust moving object detection against fast illumination change
Author/Authors :
Choi، نويسنده , , JinMin and Chang، نويسنده , , Hyung Jin and Yoo، نويسنده , , Yung Jun and Choi، نويسنده , , Jin Young، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2012
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Abstract :
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.
Keywords :
Illumination change , Auto-exposure , Brightness ratio model , Chromaticity difference model
Journal title :
Computer Vision and Image Understanding
Journal title :
Computer Vision and Image Understanding
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Link To Document :