Change detection in combination with spatial models and its effectiveness on underwater scenarios This thesis proposes a novel change detection approach for underwater scenarios and combines it with different especially developed spatial models this allows accurate and spatially coherent detection of any moving objects with a static camera in arbitrary environments. To deal with the special problems of underwater imaging pre segmentations based on the optical flow and other special adaptions were added to the change detection algorithm so that it can better handle typical underwater scenarios like a scene crowded by a whole fish swarm.<eng>