Object tracking is a challenging problems in real-time computer vision due to variations of lighting condition, pose, scale, and view-point over time. However, it is exceptionally...
We present a tracking approach for textured surfaces which recovers the object motion in 6 degrees of freedom. We assume an arbitrary but known surface shape, and an image of the o...
We present an algorithm which can track the 3D pose of a hand held camera in real-time using predefined models of objects in the scene. The technique utilises and extends recently...
This paper describes a robust tracking algorithm for real-time, video based motion capture systems. Conventional motion capture systems are unable to capture motion data in real t...
This contribution presents our approach for an instrumented automatic gesture recognition system for use in Augmented Reality, which is able to differentiate static and dynamic ges...
Stefan Reifinger, Frank Wallhoff, Markus Abla&szli...