Abstract: Provided herein are methods, systems, and computer program products for calculating a refined segmentation of an image which identifies a foreground of the image and a background of the image. Embodiments include creating a refined segmentation of an image by accessing an image that includes a foreground image and background information; creating a first segmentation of the image by applying an image subtraction algorithm; creating a second segmentation of the image by applying a semantic segmentation algorithm; creating an initialization segmentation by combining the first segmentation and the second segmentation; and creating a resulting refined segmentation by refining the initialization segmentation using at least one of statistical analysis or graphical methods. Statistical analysis includes applying a Gaussian mixture model and graphical methods include a graph cut global optimization.

Abstract: Provided herein are methods, systems, and computer program products for calculating a refined segmentation of an image which identifies a foreground of the image and a background of the image. Embodiments include creating a refined segmentation of an image by accessing an image that includes a foreground image and background information; creating a first segmentation of the image by applying an image subtraction algorithm; creating a second segmentation of the image by applying a semantic segmentation algorithm; creating an initialization segmentation by combining the first segmentation and the second segmentation; and creating a resulting refined segmentation by refining the initialization segmentation using at least one of statistical analysis or graphical methods. Statistical analysis includes applying a Gaussian mixture model and graphical methods include a graph cut global optimization.