Estimation of optical flow via voting process with weight function

For estimation of optical flow, voting has been used in the process of detection of an intersection of constraint line in voting space. The intersections are often scattered because of the quantization of voting space, image noise, etc. The authors first analyze the intersection distribution, then they show a filtering of voting to converge the scattering by convolution with a weight function. Some experimental results of the method are also given