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Springer

Human Action Analysis with Randomized Trees

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Product Code: 9789812871664
ISBN13: 9789812871664
Condition: New
$60.77
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.


Author: Gang Yu, Junsong Yuan, Zicheng Liu
Publisher: Springer
Publication Date: Aug 27, 2014
Number of Pages: NA pages
Language: English
Binding: Paperback
ISBN-10: 9812871667
ISBN-13: 9789812871664

Human Action Analysis with Randomized Trees

$60.77
 
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.


Author: Gang Yu, Junsong Yuan, Zicheng Liu
Publisher: Springer
Publication Date: Aug 27, 2014
Number of Pages: NA pages
Language: English
Binding: Paperback
ISBN-10: 9812871667
ISBN-13: 9789812871664
 

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