Mission

The project aims at a holistic approach towards learning, detection and recognition / categorisation of the visual motion and the phenomena derived from it. The approach is based on a novel and powerful paradigm of learning multi­layer compositional hierarchies. While individual ingredients, such as the hierarchical processing, compositionality and incremental learning, have already been subjects of a research, they have, to the best of our knowledge, never been treated in a unified motion­related framework. Such a framework is crucial for robustness, versatility, ease of learning and inference, generalisation, real­time performance, transfer of the knowledge, and scalability for a variety of cognitive vision tasks.