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Preface | p. ix |
Understanding Human Motion: A Historic Review | p. 1 |
2D Tracking | |
The Role of Manifold Learning in Human Motion Analysis | p. 25 |
Recognition of Action as a Bayesian Parameter Estimation Problem over Time | p. 57 |
The William Harvey Code: Mathematical Analysis of Optical Flow Computation for Cardiac Motion | p. 81 |
Detection and Tracking of Humans in Single View Sequences Using 2D Articulated Model | p. 105 |
Learning | |
Combining Discrete and Continuous 3D Trackers | p. 133 |
Graphical Models for Human Motion Modelling | p. 159 |
3D Human Motion Analysis in Monocular Video: Techniques and Challenges | p. 185 |
Spatially and Temporally Segmenting Movement to Recognize Actions | p. 213 |
Topologically Constrained Isometric Embedding | p. 243 |
2D-3D Tracking | |
Contours, Optic Flow, and Prior Knowledge: Cues for Capturing 3D Human Motion in Videos | p. 265 |
Tracking Clothed People | p. 295 |
An Introduction to Interacting Simulated Annealing | p. 319 |
Motion Capture for Interaction Environments | p. 347 |
Markerless Motion Capture for Biomechanical Applications | p. 377 |
Biomechanics and Applications | |
Qualitative and Quantitative Aspects of Movement: The Discrepancy Between Clinical Gait Analysis and Activities of Daily Life | p. 401 |
Optimization of Human Motion Exemplified with Handbiking by Means of Motion Analysis and Musculoskeletal Models | p. 417 |
Imitation Learning and Transferring of Human Movement and Hand Grasping to Adapt to Environment Changes | p. 435 |
Accurate and Model-free Pose Estimation of Crash Test Dummies | p. 453 |
Modelling and Animation | |
A Relational Approach to Content-based Analysis of Motion Capture Data | p. 477 |
The Representation of Rigid Body Motions in the Conformal Model of Geometric Algebra | p. 507 |
Video-based Capturing and Rendering of People | p. 531 |
Interacting Deformable Objects | p. 561 |
From Performance Theory to Character Animation Tools | p. 597 |
Index | p. 631 |
Table of Contents provided by Ingram. All Rights Reserved. |
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