During about 30 years, a lot of research teams have worked on the big challenge of
detection of moving objects in various challenging environments. First applications concern …

Detecting regions of change in multiple images of the same scene taken at different times is
of widespread interest due to a large number of applications in diverse disciplines, including …

Background modeling and foreground detection are important steps in video processing
used to detect robustly moving objects in challenging environments. This requires effective …

We present blue-c, a new immersive projection and 3D video acquisition environment for
virtual design and collaboration. It combines simultaneous acquisition of multiple live video …

We present a novel approach for full body pose tracking using stochastic sampling. A
volumetric reconstruction of a person is extracted from silhouettes in multiple video images …

We present a method for markerless tracking of complex human motions from multiple
camera views. In the absence of markers, the task of recovering the pose of a person during …

We present an algorithm for the real-time detection and interpretation of pointing gestures,
performed with one or both arms. The pointing gestures are used as an intuitive tracking …

The monitoring of sleep by quantifying sleeping time and quality is pivotal in many
preventive health care scenarios. A substantial amount of wearable sensing products have …

We present a GPU-based foreground-background segmentation that processes image
sequences in less than 4ms per frame. Change detection wrt. the background is based on a …

We present fast 3D surface registration methods for in-hand modeling. This allows users to
scan complete objects swiftly by simply turning them around in front of the scanner. The …