Human Action Analysis with Randomized Trees

You must be logged in to access this title.

Sign up now

Already a member? Log in

Synopsis

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.

Book details

Edition:
2015
Series:
SpringerBriefs in Electrical and Computer Engineering
Author:
Gang Yu, Junsong Yuan, Zicheng Liu
ISBN:
9789812871671
Related ISBNs:
9789812871664
Publisher:
Springer Singapore, Singapore
Pages:
N/A
Reading age:
Not specified
Includes images:
Yes
Date of addition:
2019-10-24
Usage restrictions:
Copyright
Copyright date:
2015
Copyright by:
N/A 
Adult content:
No
Language:
English
Categories:
Art and Architecture, Computers and Internet, Mathematics and Statistics, Nonfiction, Technology