InhaltsangabeFrom the contents 1 Understanding Human Motion: A Historic Review, R. Klette, C. Tee.- Part I 2D tracking. 2 The Role of Manifold Learning in Human Motion Analysis, A. Elgammal, Chan-Su Lee. 3 Recognition of Action as a Bayesian Parameter Estimation Problem over Time, V. Kruger. 4 The William Harvey Code: Mathematical Analysis of Optical Flow Computation for Cardiac Motion, Y. Kameda, A. Imiya. 5 Detection and Tracking of Humans in Single View Sequences Using 2D Articulated Model, F. Kort, V. Hlavd!.- Part II Learning. 6 Combining Discrete and Continuous 3D Trackers, C. Tsechpenakis, D. Metaxas, C. Neidle. 7 Graphical Models for Human Motion Modeling, Kooksang Moon, V. Paviovic. 8 3D Human Motion Analysis in Monocular Video Techniques and Challenges, C. Sminchisescu. 9 Spatially and Temporally Segmenting Movement to Recognize Actions, R. Green. 10 Topologically Constrained Isometric Embedding, G. Rosman, A.M. Bronstein, M.M. Bronstein, R. Kimmel.- Part III 2D-3D tracking. 11 Contours, Optic Flow, and Prior Knowledge: Cues for Capturing 3D Human Motion in Videos, T. Brox, B. Rosenhahn, D. Cremers.

Inhaltsangabe2D Tracking.- Understanding Human Motion: A Historic Review.- The Role of Manifold Learning in Human Motion Analysis.- Recognition of Action as a Bayesian Parameter Estimation Problem over Time.- The William Harvey Code: Mathematical Analysis of Optical Flow Computation for Cardiac Motion.- Detection and Tracking of Humans in Single View Sequences Using 2D Articulated Model.- Learning.- Combining Discrete and Continuous 3D Trackers.- Graphical Models for Human Motion Modelling.- 3D Human Motion Analysis in Monocular Video: Techniques and Challenges.- Spatially and Temporally Segmenting Movement to Recognize Actions.- Topologically Constrained Isometric Embedding.- 2D-3D Tracking.- Contours, Optic Flow, and Prior Knowledge: Cues for Capturing 3D Human Motion in Videos.- Tracking Clothed People.- An Introduction to Interacting Simulated Annealing.- Motion Capture for Interaction Environments.- Markerless Motion Capture for Biomechanical Applications.- Biomechanics and Applications.- Qualitative and Quantitative Aspects of Movement: The Discrepancy Between Clinical Gait Analysis and Activities of Daily Life.- Optimization of Human Motion Exemplified with Handbiking by Means of Motion Analysis and Musculoskeletal Models.- Imitation Learning and Transferring of Human Movement and Hand Grasping to Adapt to Environment Changes.- Accurate and Model-free Pose Estimation of Crash Test Dummies.- Modelling and Animation.- A Relational Approach to Content-based Analysis of Motion Capture Data.- The Representation of Rigid Body Motions in the Conformal Model of Geometric Algebra.- Video-based Capturing and Rendering of People.- Interacting Deformable Objects.- From Performance Theory to Character Animation Tools.

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