The capacity to estimate the head pose of another person is a common human ability that
presents a unique challenge for computer vision systems. Compared to face detection and …

We present a new Gaussian process (GP) inference algorithm, called online sparse matrix
Gaussian processes (OSMGP), and demonstrate its merits by applying it to the problems of …

Pedestrians are the most vulnerable participants in urban traffic. The first step toward
protecting pedestrians is to reliably detect them. We present a new approach for standing …

We present a method for estimating a person's head pose with a stereo camera. Our
approach focuses on the application of human-robot interaction, where people may be …

We propose a general framework for aligning continuous (oblique) video onto 3D sensor
data. We align a point cloud computed from the video onto the point cloud directly obtained …

We present a method for online rigid object tracking using an adaptive view-based
appearance model. When the object's pose trajectory crosses itself, our tracker has bounded …

Occlusion is a significant challenge for many tracking algorithms. Most current methods can
track through transient occlusion, but cannot handle significant extended occlusion when the …

We discuss the computation of the instantaneous 3D displacement vector fields of
deformable surfaces from sequences of range data. We give a novel version of the basic …

Head pose estimation is important for driver attention monitoring as well as for various
human computer interaction tasks. In this paper, an adaptive head pose estimation method …

We present a robust implementation of stereo-based head tracking designed for interactive
environments with uncontrolled lighting. We integrate fast face detection and drift reduction …