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• W2015148749 abstract "We present a new background-subtraction technique fusing contours from thermal and visible imagery for persistent object detection in urban settings. Statistical background-subtraction in the thermal domain is used to identify the initial regions-of-interest. Color and intensity information are used within these areas to obtain the corresponding regions-of-interest in the visible domain. Within each region, input and background gradient information are combined to form a Contour Saliency Map. The binary contour fragments, obtained from corresponding Contour Saliency Maps, are then fused into a single image. An A^* path-constrained search along watershed boundaries of the regions-of-interest is used to complete and close any broken segments in the fused contour image. Lastly, the contour image is flood-filled to produce silhouettes. Results of our approach are evaluated quantitatively and compared with other low- and high-level fusion techniques using manually segmented data." @default.
• W2015148749 created "2016-06-24" @default.
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• W2015148749 date "2007-05-01" @default.
• W2015148749 modified "2023-10-11" @default.
• W2015148749 title "Background-subtraction using contour-based fusion of thermal and visible imagery" @default.
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• W2015148749 doi "https://doi.org/10.1016/j.cviu.2006.06.010" @default.
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