1. A method for occlusion region detection, comprising: receiving, at a processing device, a first image and a second image; estimating, using the processing device, a field of motion vectors between the first image and the second image; motion compensating, using the processing device, the first image toward the second image to obtain a motion-compensated image; comparing, using the processing device, a plurality of pixel values of the motion-compensated image to a plurality of pixels of the first image to estimate an error field; inputting, using the processing device, the error field to a weighted error cost function to obtain an initial occlusion map; and regularizing, using the processing device, the initial occlusion map to obtain a regularized occlusion map, wherein the initial occlusion map and the regularized occlusion map are each based on a weighted error cost function and wherein the weighted error cost function is at least one of a sum-of-square differences measure, a locally scaled sum-of-square differences measure, a normalized cross-correlation measure, or a zero-mean normalized cross-correlation measure.