Human Action Analysis with Randomized Trees
1st Edition
Published on 14. August 2014
VIII, 83 pages
978-981-287-167-1 (ISBN)
Description
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.
More details
Series
Language
English
Place of publication
Singapore
Singapore
Publishing group
Springer Singapore
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
VIII, 83 p. 30 illus. in color.
File size
3,77 MB
ISBN-13
978-981-287-167-1 (9789812871671)
DOI
10.1007/978-981-287-167-1
Schweitzer Classification
Other editions
Additional editions
Gang Yu | Junsong Yuan | Zicheng Liu
Human Action Analysis with Randomized Trees
Book
08/2014
Springer
€53.49
Shipment within 15-20 days
Content
Introduction to Human Action Analysis.- Supervised Trees for Human Action Recognition and Detection.- Unsupervised Trees for Human Action Search.- Propagative Hough Voting to Leverage Contextual Information.- Human Action Prediction with Multi-class Balanced Random Forest.- Conclusion.
