Unlimited

Authorized users

Can lend chapters, not whole ebooks

Human action analysis with randomized trees [electronic resource] / Gang Yu, Junsong Yuan, Zicheng Liu.

9789812871671 (electronic book)
9812871675 (electronic book)
9812871667
9789812871664

Singapore : Springer Verlag, [2015]

©2015

English

1 online resource : color illustrations.

10.1007/978-981-287-167-1 doi

QA166.2 .Y8 2015eb

511.52

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.

Includes bibliographical references.

Access limited to authorized users.

Online resource; title from PDF title page (viewed Aug. 19, 2014).

SpringerBriefs in electrical and computer engineering. Signal processing.

Print version: 9789812871664

Online Resources > Ebooks
All Resources