In this paper we describe a method to learn parameters
which govern pedestrian motion by observing video
data. Our learning framework is based on variational
mode learning and a...
This paper describes an integrated system for building a multiplanar model of the scene as the camera is localized on the fly. The core of this system is a robust and accurate pr...
In this article we propose a model of a tennis game simulation with synthetic actors as players and a referee. The behavior of these actors is based on their synthetic vision and ...
We investigate a holistic approach to real-time gaze tracking by means of a well-defined neural network modelling strategy combined with robust image processing algorithms. Based ...
Complex human activities occurring in videos can be defined in terms of temporal configurations of primitive actions. Prior work typically hand-picks the primitives, their total...