Abstract:
A digital image stabilization method includes taking N frames of a target image with an exposure of T, dividing each of the N frames into predetermined blocks, and selecting a reference frame from among the N frames by setting one of the blocks in each of the N frames as a reference region and comparing reference regions of the respective N frames with one another. The method further includes estimating a motion vector of each of the remaining frames based on a reference region of the reference frame, and generating a result frame by combining a weighted frame, which is obtained by mapping a weight calculated based on the estimated motion vector to each block, and a color component frame.
Abstract:
A method of detecting a target in an image. The method includes receiving an image; generating a plurality of scaled-down images based on the received image; generating integral column images of each of the plurality of scaled images by calculating integral values of pixels column by column; selecting and classifying a plurality of windows of the integral column images according to a feature arithmetic operation based on a recursive column calculation; and detecting the target on the basis of the classification results for the plurality of windows.