1. A computer-implemented method for tracking an object in a sequence of multi-view input video images, the method comprising the steps of: acquiring a model of the object, wherein the object includes a human body; tracking the object in the multi-view input video image sequence, using the model, wherein the model includes a statistical model representing the shape of the object, wherein the model includes a kinematic model defining degrees of freedom of the human body, wherein pose parameters of the model of the human body are selected such that a two-dimensional projection of the model of the human body becomes similar to a representation of an input image according to a selected similarity measure, and wherein the tracking does not rely on 3D data clouds or silhouette data; and employing a conditioned gradient ascent algorithm to provide an analytical solution to enable real-time tracking.