Human Action Analysis with Randomized Trees | OPEN EDUCATIONAL RESOURCES

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Human Action Analysis with Randomized Trees

YU, Gang - Personal Name;

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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Series Title: -
Call Number: 004 YUG h
Publisher: : ., 2015
Collation: VIII, 83
Language: English
ISBN/ISSN: 978-981-287-166-4
Classification: 004
Content Type: text
Media Type: computer
Carrier Type: online resource
Edition: -
Subject(s): Signal, Speech and Image Processing
Specific Detail Info: -
Statement of Responsibility: Gang Yu

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Cataloger: Khusnun
Source: -
Validator: -

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Human Action Analysis with Randomized Trees

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