The human body has a complex skeleton, giving a very high number of degrees of freedom, and is actuated by a large number of elastic elements muscles and tendons. As a consequence,...
Hugo Gravato Marques, Richard Newcombe, Owen Holla...
This paper proposes a novel volume-based motion capture method using a bottom-up analysis of volume data and an example topology database of the human body. By using a two-step gra...
— A method for segmentation and recognition of human body behavior data is proposed. Recognition of human body movements is getting larger interests in robotic research field, s...
Abstract— A Wireless Mesh Network (WMN) is being considered for commercial use in spite of several unaddressed issues. In this paper we focus on one of the most critical issues: ...
This paper presents a novel auto-calibration method from unconstrained human body motion. It relies on the underlying biomechanical constraints associated with human bipedal locom...
Augmented Reality has been used for developing systems with learning purposes. In this paper, we present an Augmented Reality system for learning the interior of the human body. W...
Human body images acquired at visible spectrum have inherent restrictions that hinder the performance of person recognition systems built using that kind of information (e.g. scene...
The problem we consider in this paper is to take a single two-dimensional image containing a human body, locate the joint positions, and use these to estimate the body configurati...
Recovering the 3D coordinates of various joints of the human body from an image is a critical first step for several model-based human tracking and optical motion capture systems....
This paper describes a new method for tracking of a human body in 3D motion by using constraints imposed on the body from the scene. An image-based approach for tracking exclusive...