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Using faces of small sizes and low qualities in surveillance videos without utilizing some super resolution algorithms for their enhancement is almost impossible. But these algorithms themselves need some kind of assumptions like having only slight motions between low resolution observations, which is not the case in real situations. Thus a very fast and reliable method based on the face quality assessment has been proposed in this paper for choosing low resolution observations for any super resolution algorithm. The proposed method has been tested using real video sequences.

FACE LOG GENERATION FOR SUPER RESOLUTION USING LOCAL MAXIMA IN THE QUALITY CURVE