Human Identification Based on Gait

By: Mark S. Nixon, Rama Chellappa, Tieniu Tan

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Hardcover | 29 November 2005

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Hardcover
200 Pages

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23.5 x 15.88 x 1.27

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Human Identification Based on Gait is the first book to address gait as a biometric. Biometrics is now in a unique position where it affects most people's lives. This is especially true of "gait", which is one of the most recent biometrics. Recognizing people by the way they walk and run implies analyzing movement which, in turn, implies analyzing sequences of images, thus requiring memory and computational performance that became available only recently. Human Identification Based on Gait introduces developments from distinguished researchers within this relatively new area of biometrics. This book clearly establishes how human gait is biometric.

Human Identification Based on Gait is structured to meet the needs of professionals in industry, as well as advanced-level students in computer science.

Industry Reviews

From the reviews:

"Human Identification Based on Gait is authored by three famous professors from three prestigious universities that are located on three different continents. ... They have also worked on many vision problems related to motion processing and analysis ... . the authors have done a great job in making this book a standard reference on automatic gait recognition. ... a lot of opportunity for further research and development exists in the area of automatic gait recognition. This should excite and motivate interested students and researchers." (IAPR Newsletter, November, 2005)

"An in-depth analysis of the state of the art in gait-based human identification is provided in this book. ... The book cover clearly identifies the volume as one aimed at a professional audience ... . A person interested in human-movement modeling and authentication would benefit from reading the first step in understanding both the capabilities and limitations of the field." (Stefan Robila, Computing Reviews, November, 2006)

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You Can Find This Book In

Non-Fiction Medicine Pre-Clinical Medicine & Basic Sciences Physiology Computing & I.T.Computer Science Systems Analysis & Design Graphical & Digital Media Applications Artificial Intelligence Pattern Recognition Computer Vision

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Paperback

Published: 9th October 2011

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Preface	p. vii
Introduction	p. 1
Biometrics and Gait	p. 1
Contexts	p. 2
Immigration and Homeland Security	p. 2
Surveillance	p. 2
Human ID at a Distance (HiD) Program	p. 3
Book Structure	p. 3
Subjects Allied to Gait	p. 5
Overview	p. 5
Literature	p. 5
Medicine and Biomechanics	p. 6
Basic Gait Analysis	p. 6
Variation in Gait Covariate Factors	p. 10
Psychology	p. 12
Computer Vision-Based Human Motion Analysis	p. 13
Other Subjects Allied to Gait	p. 15
Gait Databases	p. 17
Early Databases	p. 17
UCSD Gait Data	p. 17
Early Soton Gait Data	p. 18
Current Databases	p. 20
Overall Design Considerations	p. 20
NIST/USF Database	p. 21
Soton Database	p. 22
Overview	p. 22
Laboratory Layout	p. 24
Outdoor Data Design Issues	p. 27
Acquisition Set-up Procedure	p. 29
Filming Issues	p. 29
Recording Procedure	p. 30
Ancillary Data	p. 31
CASIA Database	p. 32
UMD Database	p. 33
Early Recognition Approaches	p. 35
Initial Objectives and Constraints	p. 35
Silhouette Based	p. 35
Model Based	p. 39
Silhouette-Based Approaches	p. 45
Overview	p. 45
Extending Shape Description to Moving Shapes	p. 48
Area Masks	p. 49
Gait Symmetry	p. 51
Velocity Moments	p. 53
Results	p. 54
Recognition by Area Masks	p. 55
Recognition by Symmetry	p. 58
Recognition by Velocity Moments	p. 61
Potency of Measurements of Silhouette	p. 63
Procrustes and Spatiotemporal Silhouette Analysis	p. 65
Automatic Gait Recognition Based on Procrustes Shape Analysis	p. 65
Silhouette Detection and Representation for Procrustes Analysis	p. 66
Silhouette Extraction	p. 66
Representation of Silhouette Shapes	p. 68
Procrustes Gait Feature Extraction and Classification	p. 69
Procrustes Shape Analysis	p. 69
Gait Signature Extraction	p. 69
Similarity Measure and Classifier	p. 70
Spatiotemporal Silhouette Analysis Based Gait Recognition	p. 70
Spatiotemporal Feature Extraction	p. 72
Feature Extraction and Classification	p. 73
Experimental Results and Analysis	p. 77
Procrustes Shape Analysis	p. 77
Spatiotemporal Silhouette Analysis	p. 82
Modeling, Matching, Shape and Kinematics	p. 89
HMM Based Gait Recognition	p. 89
Gait Recognition Framework	p. 90
Direct Approach	p. 91
Indirect Approach	p. 93
DTW Based Gait Recognition	p. 94
Gait Recognition Framework	p. 96
Shape and Kinematics	p. 97
Shape Analysis	p. 97
Dynamical Models	p. 98
Results	p. 100
HMM Based Gait Recognition	p. 100
DTW Based Gait Recognition	p. 102
Shape and Kinematics	p. 104
Model-Based Approaches	p. 107
Overview	p. 107
Planar Human Modeling	p. 109
Modeling Walking and Running	p. 109
Model-Based Extraction and Description	p. 111
Kinematics-based People Tracking and Recognition in 3D Space	p. 114
Model-based People Tracking using Condensation	p. 114
Human Body Model	p. 115
Learning Motion Model and Motion Constraints	p. 117
Experiments and Discussions	p. 125
Other Approaches	p. 131
Structure by Body Parameters	p. 132
Structural Model-based Recognition	p. 132
Further Gait Developments	p. 135
View Invariant Gait Recognition	p. 135
Overview of the Algorithm	p. 136
Optical flow based SfM approach	p. 137
Homography based approach	p. 138
Experimental Results	p. 138
Gait Biometric Fusion	p. 141
Fusion of Static and Dynamic Body Biometrics for Gait Recognition	p. 144
Overview of Approach	p. 144
Classifiers and Fusion Rules	p. 145
Experimental Results and Analysis	p. 146
Future Challenges	p. 151
References	p. 157
Literature	p. 157
Medicine and Biomechanics	p. 157
Covariate factors	p. 158
Psychology	p. 159
Computer Vision-Based Analysis of Human Motion	p. 160
Databases	p. 161
Early work	p. 162
Current approaches	p. 163
Further Analysis	p. 166
Other Related Work	p. 169
General	p. 169
Appendices	p. 171
Southampton Data Acquisition Forms	p. 171
Laboratory Set-up Forms	p. 171
Camera Set-up Forms	p. 175
Session Coordinator's Instructions	p. 180
Subject Information Form	p. 182
Index	p. 185
Table of Contents provided by Ingram. All Rights Reserved.

Human Identification Based on Gait

At a Glance

Hardcover

Industry Reviews

Shipping

How to return your order

Defective items

You Can Find This Book In

Other Editions and Formats

Paperback

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