This paper presents the formulations and techniques that we have developed for the 3D
model-based, motion estimation of human movement from multiple cameras. Our method is …

A comprehensive survey of computer vision-based human motion capture literature from the
past two decades is presented. The focus is on a general overview based on a taxonomy of …

This literature survey attempts to recent developments and current state-of-the-art in the field
of body analysis by the use of nonintrusive optical systems. Markerless based human motion …

In this paper, we present a new deep learning-based human activity recognition technique.
First, we track and extract human body from each frame of the video stream. Next, we …

In this paper, we present a four-step technique for simultaneously estimating a human's
anthropometric measurements (up to a scale parameter) and pose from a single …

In this paper, we present a four-step technique for simultaneously estimating a human's
anthropometric measurements (up to a scale parameter) and pose from a single image. The …

We present a nonintrusive system based on computer vision for human-computer interaction
in three-dimensional (3-D) environments controlled by hand pointing gestures. Users are …

Personal Experience with Active Cultural Heritage, PEACH, is a large, interdisciplinary
development project that explores the use of novel technologies for physical museum visits …

Recently, we developed a technique that allows semi-automatic estimation of anthropometry
and pose from a single image. However, estimation was limited to a class of images for …

Figure 1 shows a vision of the future from the 1939 World's Fair. The human-machine
interface that was envisioned is wonderful. Both machines are equipped with cameras; the …