Find a copy online
Links to this item
Find a copy in the library
Finding libraries that hold this item...
|Additional Physical Format:||Print version:
Machine learning for vision-based motion analysis.
London : Springer, ©2011
|Material Type:||Document, Internet resource|
|Document Type:||Internet Resource, Computer File|
|All Authors / Contributors:||
|ISBN:||9780857290571 0857290576 9780857290564 0857290568|
|Description:||1 online resource (xiv, 372 pages) : illustrations.|
|Contents:||Preface; Part I: Manifold Learning and Clustering/Segmentation; Part II: Tracking; Part III: Motion Analysis and Behavior Modeling; Part IV: Gesture and Action Recognition; Contents; Manifold Learning and Clustering/Segmentation; Practical Algorithms of Spectral Clustering: Toward Large-Scale Vision-Based Motion Analysis; Riemannian Manifold Clustering and Dimensionality Reduction for Vision-Based Analysis; Manifold Learning for Multi-dimensional Auto-regressive Dynamical Models; Tracking; Mixed-State Markov Models in Image Motion Analysis.|
|Series Title:||Advances in pattern recognition.|
|Responsibility:||Liang Wang [and others], editors.|
From the reviews: "The successes of the First and Second International Workshops on Machine Learning for Vision-Based Motion Analysis, which were held in 2008 and 2009, prompted this book. The book