We present a computer vision system for robust object tracking in 3D by combining evidence from multiple calibrated cameras. This kernel-based 3D tracker is automatically bootstra...
Ambrish Tyagi, Mark A. Keck, James W. Davis, Geras...
We describe a learning based method for recovering 3D human body pose from single images and monocular image sequences. Our approach requires neither an explicit body model nor pri...
We have developed a method for recognizing and tracking known three-dimensional objects in scene images captured from a user’s viewpoint. The method uses multiple color histogra...
In this paper, we propose a physically-based dynamical model for tracking. Our model relies on Newton’s second law of motion, which governs any real-world dynamical system. As a...
Abstract— We propose a system for human computer interaction via 3D hand movements, based on a combination of visual tracking and a cheap, off-the-shelf, accelerometer. We use a ...