We present a framework for learning object representations for fast recognition of a large number of different objects. Rather than learning and storing feature representations s...
We present a new and efficient semi-supervised training method for parameter estimation and feature selection in conditional random fields (CRFs). In real-world applications suc...
Recognizing activities based on an actor’s interaction with everyday objects is an important research approach within ubiquitous computing. We present a recognition approach whic...
Dipak Surie, Fabien Lagriffoul, Thomas Pederson, D...
Abstract. In the last years, techniques for activity recognition have attracted increasing attention. Among many applications, a special interest is in the pervasive e-Health domai...
We present an efficient method within an active vision framework for recognizing objects which are ambiguous from certain viewpoints. The system is allowed to reposition the camer...
Hermann Borotschnig, Lucas Paletta, Manfred Prantl...