Motion tracking is one of the most practical applications of computer vision in real life. In this paper, we highlight a new application for tracking motion and estimating the velocity of the moving vehicle in terms of clustering of optical flows. A centroid neural network with a metric utilizing optical flow is employed to group pixels of moving vehicles from traffic images, and to generate bl...

Abstract: Many estimation methods have been proposed for the parameters of statistical distribution. The least squares estimation method, based on a regression model or probability plot, is frequently used by practitioners since its implementation procedure is extremely simple in complete and censoring data cases. However, in the procedure, heteroscedasticity is present in the used regression m...