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Human Action Analysis with Randomized Trees

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Human Action Analysis with Randomized Trees

Zicheng Liu, Gang Yu, Junsong Yuan

Springer
Collection: SpringerBriefs in Electrical and Computer Engineering
Publication date : 2014-08-14

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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

Author

Zicheng Liu , Gang Yu , Junsong Yuan

Imprint

Springer

Collection

SpringerBriefs in Electrical and Computer Engineering

Publication date

2014-08-14

Pages

83 pages

Print ISBN

9789812871664

Language

English

Ebook informations

EAN EPUB

9789812871671

Price

£44.99

Copy count 0

Print count 8

File size 2929 Ko

Informations accessibility

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About author(s)

Zicheng Liu

Gang Yu

Junsong Yuan

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