Locating people in indoor scenes for real applications

A real person description application needs, as a first step, a robust process of people location. To locate people it is required to find out the subject's position and extent. This paper presents a robust architecture for solving this problem in static images. The work presented combines in a probabilistic manner, information from background, skin and shape models. This method has been tested in a large set of images for a real application.