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Human Action Analysis with Randomized Trees

Language EnglishEnglish
Book Paperback
Book Human Action Analysis with Randomized Trees Gang Yu
Libristo code: 05159734
Publishers Springer Verlag, Singapore, August 2014
This book will provide a comprehensive overview on human action analysis with randomized trees. It w... Full description
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20 339 Ft
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This book will provide a comprehensive overview on human action analysis with randomized trees. It will cover both the supervised random trees and the unsupervised random trees. When there are sufficient amount of labeled data available, supervised random trees provides a fast method for space-time interest point matching. When labeled data is minimal as in the case of example-based action search, unsupervised random trees is used to leverage the unlabelled data. We describe how the randomized trees can be used for action classification, action detection, action search, and action prediction. We will also describe techniques for space-time action localization including branch-and-bound sub-volume search and propagative Hough voting.

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About the book

Full name Human Action Analysis with Randomized Trees
Author Gang Yu, Junsong Yuan, Zicheng Liu
Language English
Binding Book - Paperback
Date of issue 2014
Number of pages 83
EAN 9789812871664
ISBN 9812871667
Libristo code 05159734
Publishers Springer Verlag, Singapore
Weight 1533
Dimensions 155 x 235 x 6

Categories

Mathematics & Science > Mathematics > Applied mathematics > Stochastics
Technology, Engineering, Agriculture > Other technologies & applied sciences > Applied optics > Imaging systems & technology
Computing & Information Technology > Computer science > Artificial intelligence > Computer vision
Mathematics & Science > Mathematics > Probability & statistics
Technology, Engineering, Agriculture > Technology: general issues > Engineering: general
Technology, Engineering, Agriculture > Electronics & communications engineering > Electronics engineering
Computing & Information Technology > Computer science > Signal processing
Computing & Information Technology > Computer science > Image processing
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