1. A method for low complexity change detection in a sequence of images through background estimation, comprising: generating a first change detection map by performing change detection based on configurable block sizes between a current image and one of an estimated first background image and a previous image, wherein the first change detection map classifies each block as changed or unchanged, wherein generating the first change detection map comprises: determining a first block level change metric between the current image and one of the estimated first background image and the previous image; computing a confidence metric based on the determined first block level change metric; classifying whether each block has changed or unchanged by comparing the associated first block level change metric against an associated block level noise threshold; and selection of one of the estimated first background image and the previous image based on the confidence metric for generation of the first change detection map for a next image; identifying each connected region based on the changed blocks and assigning a label to each connected region; and classifying each labeled region in the current image as changed or unchanged.