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Human Motion: Understanding, Modelling, Capture, and Animation

✍ Scribed by Reinhard Klette, Garry Tee (auth.), Bodo Rosenhahn, Reinhard Klette, Dimitris Metaxas (eds.)


Publisher
Springer Netherlands
Year
2008
Tongue
English
Leaves
628
Series
Computational Imaging and Vision 36
Edition
1
Category
Library

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✦ Synopsis


Edward Muybridge (1830–1904) is known as the pioneer in motion capt- ing with his famous experiments in 1887 called β€œAnimal Locomotion”. Since then, the ?eld of animal or human motion analysis has grown in many dir- tions. However, research and results that involve human-like animation and the recovery of motion is still far from being satisfactory. The modelling, tracking, and understanding of human motion based on video sequences as a research ?eld has increased in importance particularly in thelastdecadewiththeemergenceofapplicationsinsportssciences,medicine, biomechanics, animation (online games), surveillance, and security. Progress in human motion analysis depends on empirically anchored and grounded research in computer vision, computer graphics, and biomechanics. Though these ?elds of research are often treated separately, human motion analysis requires the integration of methodologies from computer vision and computer graphics.Furthermore,theunderstandinganduseofbiomechanicsconstraints improves the robustness of such an approach. This book is based on a June 2006 workshop held in Dagstuhl, Germany. This workshop brought together for the ?rst time researchers from the afo- mentioned disciplines. Based on their diverse perspectives, these researchers havebeendevelopingnewmethodologiesandcontributing,throughtheir?- ings, to the domain of human motion analysis. The interdisciplinary character of the workshop allowed people to present a wide range of approaches that helped stimulate intellectual discussions and the exchange of new ideas.

✦ Table of Contents


Front Matter....Pages i-x
Understanding Human Motion: A Historic Review....Pages 1-22
The Role of Manifold Learning in Human Motion Analysis....Pages 25-56
Recognition of Action as a Bayesian Parameter Estimation Problem over Time....Pages 57-79
The William Harvey Code: Mathematical Analysis of Optical Flow Computation for Cardiac Motion....Pages 81-104
Detection and Tracking of Humans in Single View Sequences Using 2D Articulated Model....Pages 105-130
Combining Discrete and Continuous 3D Trackers....Pages 133-158
Graphical Models for Human Motion Modelling....Pages 159-183
3D Human Motion Analysis in Monocular Video: Techniques and Challenges....Pages 185-211
Spatially and Temporally Segmenting Movement to Recognize Actions....Pages 213-241
Topologically Constrained Isometric Embedding....Pages 243-262
Contours, Optic Flow, and Prior Knowledge: Cues for Capturing 3D Human Motion in Videos....Pages 265-293
Tracking Clothed People....Pages 295-317
An Introduction to Interacting Simulated Annealing....Pages 319-345
Motion Capture for Interaction Environments....Pages 347-376
Markerless Motion Capture for Biomechanical Applications....Pages 377-398
Qualitative and Quantitative Aspects of Movement: The Discrepancy Between Clinical Gait Analysis and Activities of Daily Life....Pages 401-415
Optimization of Human Motion Exemplified with Handbiking by Means of Motion Analysis and Musculoskeletal Models....Pages 417-434
Imitation Learning and Transferring of Human Movement and Hand Grasping to Adapt to Environment Changes....Pages 435-452
Accurate and Model-free Pose Estimation of Crash Test Dummies....Pages 453-473
A Relational Approach to Content-based Analysis of Motion Capture Data....Pages 477-506
The Representation of Rigid Body Motions in the Conformal Model of Geometric Algebra....Pages 507-529
Video-based Capturing and Rendering of People....Pages 531-559
Interacting Deformable Objects....Pages 561-596
From Performance Theory to Character Animation Tools....Pages 597-629
Back Matter....Pages 631-633

✦ Subjects


Computer Imaging, Vision, Pattern Recognition and Graphics; Image Processing and Computer Vision; Human Physiology; Sports Medicine


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