A template match-based method for human action recognition is presented by using the moving human silhouette contour.First,the human silhouette contour extraction is obtained by background subtraction and shadow elimination.A new contour descriptor called as border-radius is defined,which is employed to transform the 2D contour into a 1D distance vector.The hierarchical clustering method is used to extract key postures of human action using the cost functions as eigenvectors.At last,a human behavior sequenc...