Overview

This text describes some computer vision-based methods that analyze video sequences of humans. More specifically, methods for tracking multiple humans in a scene, estimating postures of a human body in 3D in real-time, and recognizing a person's behaviour (gestures or activities) are discussed. For the tracking algorithm, the authors developed a non-synchronous method that tracks multiple persons by exploiting a Kalman filter that is applied to multiple video sequences. For estimating postures, an algorithm is presented that locates the significant points which determine postures of a human body, in 3D in real-time. Human activities are recognized from a video sequence by the HMM (Hidden Markov Models)-based method that the authors pioneered. The effectiveness of the three methods is shown by experimental results. The posture estimation method described in this book is a world-leading method in that it can estimate postures in 3D in real-time. As described in this book, the posture estimation method can be applied to avatar-based telecommunication systems, which require realistic, real-time reproduction of human images. This work should prove a useful reference for both professional and academic researchers in the fields of computer vision and image processing, also, to those working in video surveillance and monitoring, virtual reality, computer graphics, pattern recognition, telecommunication, human-computer interface, and general computer science. It should also be suitable for use in graduate classes in computer vision or image processing.

Full Product Details

Author:   Jun Ohya ,  Akira Utsumi ,  Junji Yamato
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Volume:   3
Dimensions:   Width: 15.50cm , Height: 1.10cm , Length: 23.50cm
Weight:   0.910kg
ISBN:  

9781402070211

ISBN 10:   1402070217
Pages:   138
Publication Date:   31 March 2002
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of print, replaced by POD  
We will order this item for you from a manufatured on demand supplier.

Table of Contents

1 Introduction.- 2 Tracking multiple persons from multiple camera images.- 2.1 Overview.- 2.2 Preparation.- 2.4 Algorithm for Multiple-Camera Human Tracking System.- 2.5 Implementation.- 2.6 Experiments.- 2.7 Discussion and Conclusions.- Appendix: Image Segmentation using Sequential-image-based Adaptation.- 3 Posture estimation.- 3.1 Introduction.- 3.2 A Heuristic Method for Estimating Postures in 2D.- 3.3 A Heuristic Method for Estimating Postures in 3D.- 3.3.6 Summary.- 3.4 A Non-heuristic Method for Estimating Postures in 3D.- 3.5 Applications to Virtual Environments.- 3.6 Discussion and Conclusion.- 4 Recognizing human behavior using Hidden Markov Models.- 4.1 Background and overview.- 4.2 Hidden Markov Models.- 4.3 Applying HMM to time-sequential images.- 4.4 Experiments.- 4.5 Category-separated vector quantization.- 4.6 Applying Image Database Search.- 4.7 Discussion and Conclusion.- 5 Conclusion and Future Work.

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