This work describes an approach for the interpretation and explanation of human behavior in image sequences, within the context of a Cognitive Vision System. The information source...
We develop an optical flow estimation framework that focuses on motion estimation over time formulated in a Dynamic Bayesian Network. It realizes a spatiotemporal integration of ...
Volker Willert, Marc Toussaint, Julian Eggert, Edg...
In this paper we discuss generalizations of instantaneous, local vortex criteria. We incorporate information on spatial context and temporal development into the detection process...
Raphael Fuchs, Ronald Peikert, Filip Sadlo, Bilal ...
The first contribution of this paper is a probabilistic approach for measuring motion similarity for point sequences. While most motion segmentation algorithms are based on a rank...
We present a novel, real-time disparity analysis frame work developed for immersive teleconferencing. This two-stage method computes a limited number of highly reliable disparitie...
Oliver Schreer, Serap Askar, Nicole Brandenburg, P...