1. A method for segmenting an object at a self-checkout, wherein the method comprises: capturing an image of an object at a self-checkout; dividing the image into one or more blocks; computing one or more features of the image; computing a confidence value for each of the one or more blocks, wherein computing a confidence value for each of the one or more blocks comprises using a minimum feature distance from one or more reference background blocks; and eliminating one or more blocks from consideration via use of an adaptive threshold computed on the confidence value for each of the one or more blocks, wherein the one or more blocks remaining map to a region of the image containing the object.