Motion segmentation in artificial and biological system.
In the early steps of visual information processing motion is one of the most important queues for the development of spatial representations. Obstacle detection and egomotion estimation are only two examples of the powerfulness of visual motion detection systems. The underlying process of information extraction has to be active due to the observer's capabilities of egomotion. This means that the observer's motion has an impact on the projected retinal motion field. Therefore one of the challenging tasks for biological as well as for technical vision systems is to couple retinal motion and egomotion and to uncouple egomotion and object motion. The following sections describe a model that couples visual motion processing with the egomotion parameters of a moving observer. Beneath a theoretical introduction of the model an application to traffic scene analysis is presented. At last the paper relates the model to biological motion processing systems.
Institut für Neuroinformatik, Ruhr-Universität Bochum, Germany. Walter.Gillner@dbag.ulm.daimlerbenz.com
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D000818:Animals; D005556:Form Perception; D006801:Humans; D008954:Models, Biological; D009039:Motion Perception / Q000502:physiology*; D018986:Motor Vehicles; D009068:Movement / Q000502:physiology*; D009949:Orientation; D013028:Space Perception