ABSTRACT
Despite very optimistic predictions in the early days of Artificial Intelligence research, a computer vision system that interprets image sequences acquired from arbitrary real-world scenes still remains out of reach. Nevertheless, there has been great progress in the field since then and a number of applications emerged within different areas. Of particular interest for several applications are capabilities for object segmentation and object recognition. Algorithms from the former category support the segmentation of the observed world into semantic entities and thus allow a transition from signal processing towards an objectoriented view. Object recognition approaches allow the classification of objects into categories and enable conceptual representations of still images or videos.
