Real-Time Analysis of Human Body Parts and Gesture-Activity Recognition in 3D

Real-Time Analysis of Human Body Parts and Gesture-Activity Recognition in 3D

Burak Ozer (Princeton University, USA), Tiehan Lv (Princeton University, USA) and Wayne Wolf (Princeton University, USA)
DOI: 10.4018/978-1-59140-299-2.ch004
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Abstract

This chapter focuses on real-time processing techniques for the reconstruction of visual information from multiple views and its analysis for human detection and gesture and activity recognition. It presents a review of the main components of three-dimensional visual processing techniques and visual analysis of multiple cameras, i.e., projection of three-dimensional models onto two-dimensional images and three-dimensional visual reconstruction from multiple images. It discusses real-time aspects of these techniques and shows how these aspects affect the software and hardware architectures. Furthermore, the authors present their multiple-camera system to investigate the relationship between the activity recognition algorithms and the architectures required to perform these tasks in real time. The chapter describes the proposed activity recognition method that consists of a distributed algorithm and a data fusion scheme for two and three-dimensional visual analysis, respectively. The authors analyze the available data independencies for this algorithm and discuss the potential architectures to exploit the parallelism resulting from these independencies.

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Table of Contents
Chapter 1
Angel Sappa, Sotiris Malassiotis
This chapter presents a survey of the most recent vision-based human body modeling techniques. It includes sections covering the topics of 3D human... Sample PDF
Advances in Vision-Based Human Body Modeling
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Chapter 2
Marius Preda, Ioan A. Salomie, Françoise Preteux, Gauthier Lafruit
Besides being one of the well-known audio/video coding techniques, MPEG-4 provides additional coding tools dedicated to virtual character animation.... Sample PDF
Virtual Character Definition and Animation within the MPEG-4 Standard
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Chapter 3
B. J. Lei, E. A. Hendriks, Aggelos K. Katsaggelos
This chapter presents an extensive overview of passive camera calibration techniques. Starting with a detailed introduction and mathematical... Sample PDF
Camera Calibration for 3D Reconstruction and View Transformation
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Chapter 4
Burak Ozer, Tiehan Lv, Wayne Wolf
This chapter focuses on real-time processing techniques for the reconstruction of visual information from multiple views and its analysis for human... Sample PDF
Real-Time Analysis of Human Body Parts and Gesture-Activity Recognition in 3D
$37.50
Chapter 5
Kostas Karpouzis, Amaryllis Raouzaiou, Athanasios Drosopoulos, Spiros Ioannou, Themis Balomenos, Nicolas Tsapatsoulis
This chapter presents a holistic approach to emotion modeling and analysis and their applications in Man-Machine Interaction applications. Beginning... Sample PDF
Facial Expression and Gesture Analysis for Emotionally-Rich Man-Machine Interaction
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Chapter 6
Ana C. Andres del Valle, Jean-Luc Dugelay
This chapter presents a state-of-the-art compilation on facial motion and expression analysis. The core of the chapter includes the description and... Sample PDF
Techniques for Face Motion & Expression Analysis on Monocular Images
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Chapter 7
Peter Eisert
In this chapter, the state-of-the-art in facial animation and expression analysis is reviewed and new techniques for the estimation of 3-D human... Sample PDF
Analysis and Synthesis of Facial Expressions
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Chapter 8
Gregor A. Kalberer, Pascal Müller, Luc Van Gool
The problem of realistic face animation is a difficult one. This is hampering a further breakthrough of some high-tech domains, such as special... Sample PDF
Modeling and Synthesis of Realistic Visual Speech in 3D
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Chapter 9
Markus Kampmann, Liang Zhang
This chapter introduces a complete framework for automatic adaptation of a 3D face model to a human face for visual communication applications like... Sample PDF
Automatic 3D Face Model Adaptation with Two Complexity Modes for Visual Communication
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Chapter 10
Zhen Wen, Pengyu Hong, Jilin Tu, Thomas S. Huang
This chapter presents a unified framework for machine-learning-based facial deformation modeling, analysis and synthesis. It enables flexible... Sample PDF
Learning 3D Face Deformation Model: Methods and Applications
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Chapter 11
Nikos Karatzoulis, Costas T. Davarakis, Dimitrios Tzovaras
This chapter presents a number of promising applications and provides an overview of recent developments and techniques in the area of analysis and... Sample PDF
Synthesis and Analysis Techniques for the Human Body: R&D Projects
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About the Authors