Human Action Analysis with Randomized Trees
Zicheng Liu author Gang Yu author Junsong Yuan author
Format:Paperback
Publisher:Springer Verlag, Singapore
Published:27th Aug '14
Currently unavailable, and unfortunately no date known when it will be back
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.
ISBN: 9789812871664
Dimensions: unknown
Weight: 1533g
83 pages
2015 ed.