2014/02/10 by Xintong Yu, Xiaohan Liu, Yu, Xintong +3
Computer Science · #Image Enhancement Techniques #Video Surveillance and Tracking Methods #Advanced Vision and Imaging
paper · pdf · doi:10.48550/arxiv.1402.2013
We propose a foreground segmentation algorithm that does foreground extraction under different scales and refines the result by matting. First, the input image is filtered and resampled to 5 different resolutions. Then each of them is segmented by adaptive figure-ground classification and the best segmentation is automatically selected by an evaluation score that maximizes the difference between foreground and background. This segmentation is upsampled to the original size, and a corresponding trimap is built. Closed-form matting is employed to label the boundary region, and the result is refined by a final figure-ground classification. Experiments show the success of our method in treating challenging images with cluttered background and adapting to loose initial bounding-box.