|Title||Adaptive scene-dependent filters in online learning environments|
|Publication Type||Conference Paper|
|Year of Publication||2006|
|Authors||Götting M, Steil JJ, Wersing H, Körner E, Ritter H|
|Conference Name||New issues in neurocomputing. 13th European Symposium on Artificial Neural Networks 2005|
In this paper we propose the Adaptive Scene Dependent Filters (ASDF) to enhance the online learning capabilities of an object recognition system in real-world scenes. The ASDF method proposed extends the idea of unsupervised segmentation to a flexible, highly dynamic image segmentation architecture. We combine unsupervised segmentation to define coherent groups of pixels with a recombination step using top-down information to determine which segments belong together to the object. We show the successful application of this approach to online learning in cluttered environments.