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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 system functionalities, broken down into four processes: initial-ization, tracking, pose estimation, and recognition. Each process is discussed and divided into subprocesses and /or(More)
In model-based computer vision it is necessary to have a geometric model of the object the pose of which is being estimated. In this paper a very compact model of the shoulder complex and arm is presented. First an investigation of the anatomy of the arm and the shoulder is conducted to identify the primary joints and degrees of freedom. To model the(More)
In recent years Sequential Monte Carlo (SMC) methods have been applied to handle some of the problems inherent to model-based tracking. In this paper two issues regarding SMC are investigated in the context of estimating the 3D pose of the human arm. Firstly, we investigate how to apply a sub-space to representing the pose of a human arm more efficiently,(More)
A software system has been developed for the study of static and dynamic data visualization in the context of Visual Data Mining in Virtual Reality. We use a specific data set to illustrate how the visual-ization tools of the 3D Visual Data Mining (3DVDM) system can assist in detecting potentially interesting non-linear data relationships that are hard to(More)
Many disciplines of multimedia and communication go towards ubiquitous computing and hands free-or no-touch interaction with computers. Application domains in this direction involve virtual reality, augmented reality, wearable computing, and smart spaces. Gesturing is one means of interaction and this paper presents some important issues in gesture(More)
In the last decade speech processing has been applied in commercially available products. One of the key reasons for its success is the identification and use of an underlying set of generic symbols (phonemes) constituting all speech. In this work we follow the same approach, but for the problem of human body gestures. That is, the topic of this paper is(More)
In many 3D human pose estimation applications it is desirable to be able to estimate the pose using monocular vision. The ambiguities related to this are usually handled by introducing a priori knowledge in the form of a human model. We represent the human model in a phase space spanned by its different degrees of freedom and use the analysis-by-synthesis(More)