Department for Automation, Biocybernetics and Robotics





Learning, analysis, and detection of motion in the framework of a hierarchical compositional visual architecture

Project duration: 2011 - 2014
Project web site
Project area: Laboratory of Humanoid and Cognitive Robotics
Project type: Research
Project funding: Research Agency
Project leader: Aleš Ude

Abstract

The main scientific challenge of the project lies in the design of data structures and learning processes that enable efficient learning of robust, extendable, and general­-purpose visual representations.