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A fast block matching algorithm using integral projections for the estimation of motion vectors is proposed. In the calculation of the cost function, the proposed algorithm using integral projections as features can reduce the motion estimation computations by a factor of 3 by converting the operations of two-dimensional arrays into those of one-dimensional arrays. Also, the proposed method is not sensitive to additive noise. Simulation results based on the sequence of original image and the sequences of noisy image with different standard deviation are presented.