Abstract: It is essential to estimate in real-time the parameters of motion of moving objects in visually guided robot tracking and grasping. While feasibility of the task has been demonstrated in laboratories by using for instance optical flow method at the expense of special hardware implementation, dedicated and efficient algorithms are still considered essential and studied as an open research problem. This paper presents a fast parameter estimation algorithm of moving objects in 2-D space, based on our finding of the relationship between the desired parameters of motion and a complex transformation on the images. This algorithm requires no model of the objects and no feature extraction. Comparison of the performances of this algorithm with those of FFT will be given in the paper.