We present a method for 3D human motion capture using a single camera, without markers
and without a priori knowledge on gestures. It is based on registering a 3D articulated model …

This paper presents a new method of motion analysis of articulated objects from feature
point correspondences over monocular perspective images without imposing any …

This paper presents a new scheme for acquiring 3D kinematic structure and motion from
time-series volume data, in particular, focusing on human body. Our basic strategy is to first …

This paper presents the steps involved in processing the output image obtained from image
subtraction. A Web camera or Web cam is used as a video clip capture device and MATLAB …

This paper describes a content-based cross search scheme for two kinds of three-
dimensional (3D) human motion data: time-varying mesh (TVM) and motion capture data …

Motion can provide useful information about the structure of an articulated object. In this
paper, we develop a method to estimate the revolute joints from two monocular images of …

Die vorliegende Arbeit ist durch Problemstellungen motiviert, die im Rahmen des
Sonderforschungsbereichs 588 entstanden sind. Sie behandelt verschiedene Aspekte der …

Finding Kinematic Structure in Time Series Volume Data Page 1 Electronic Letters on
Computer Vision and Image Analysis 7(4):62-72, 2009 Finding Kinematic Structure in Time …

This paper presents a new approach to estimate the kinematic structure underlying a
sequence of 3D dynamic surfaces reconstructed from multi-view video. The key idea is a …

Recognizing the accurate position of each joint point of the human body helps the computer
to understand the rich human body motion information. Recognizing the precise position of …