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Calculating the Distance Between an Input Image and a Standard Image: We calculate the distances between input image feature points and those of a standard image, or the distances between the input-image�s Fourier transform coefficients and those of the standard image. For example, given a coefficient a1 of the Fourier transform of an image and a coefficient si of that of a standard image, the distance is determined as follows:
Long-term video surveillance is a difficult task, because, firstly, the appearance of the same person can vary greatly over time. Secondly, as already noted, an object can repeatedly leave the observation zone and return there again. In order to cope with problems of this kind, Crispersoft specialists use the information of the face recognition system in their designs, which is resistant, for example, to changing clothes. Thus, a reasonable visual diary of the movement of different people is created, designed to automatically summarize a huge number of digitally generated images daily.