Pedestrian detection is a rapidly evolving area in computer vision with key applications in
intelligent vehicles, surveillance, and advanced robotics. The objective of this paper is to …

Articulated hand-tracking systems have been widely used in virtual reality but are rarely
deployed in consumer applications due to their price and complexity. In this paper, we …

Tracking the articulated 3D motion of the hand has important applications, for example, in
human-computer interaction and teleoperation. We present a novel method that can capture …

Capturing the motion of two hands interacting with an object is a very challenging task due
to the large number of degrees of freedom, self-occlusions, and similarity between the …

Human pose estimation has been actively studied for decades. While traditional approaches
rely on 2d data like images or videos, the development of Time-of-Flight cameras and other …

A widely accepted prediction is that computing will move to the background, weaving itself
into the fabric of our everyday living spaces and projecting the human user into the …

With the development of ubiquitous computing, current user interaction approaches with
keyboard, mouse and pen are not sufficient. Due to the limitation of these devices the …

3D hand pose tracking/estimation will be very important in the next generation of human-
computer interaction. Most of the currently available algorithms rely on low-cost active depth …

This paper presents the first semi-supervised transductive algorithm for real-time articulated
hand pose estimation. Noisy data and occlusions are the major challenges of articulated …

A novel model-based approach to 3D hand tracking from monocular video is presented. The
3D hand pose, the hand texture, and the illuminant are dynamically estimated through …