Human action recognition in videos is a desired field in computer vision applications since it can be applied in human computer interaction, surveillance monitors, robot vision, etc. Two approaches of features are investigated in this chapter. First approach is a contour-based type. Four features are investigated in this approach such as Cartesian Coordinate Features (CCF), Fourier Descriptors ...

Machine-learning algorithms have gained popularity in recent years in the field of ecological modeling due to their promising results in predictive performance of classification problems. While the application of such algorithms has been highly simplified in the last years due to their well-documented integration in commonly used statistical programming languages such as R, there are several pr...

Pattern classi cation using neural networks and statistical methods is discussed. We rst give a tutorial overview that groups popular classi ers according to their underlying mathematical principles into several distinct categories. Starting from the Bayes classi er, one division is whether the classi er is explicitly estimating class conditional densities, or directly estimating the posterior ...