Human Action Analysis with Randomized Trees PDF
by Gang Yu, Junsong Yuan, Zicheng Liu
Part of the SpringerBriefs in Electrical and Computer Engineering series
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.
Information
-
Download - Immediately Available
- Format:PDF
- Publisher:Springer Nature Singapore
- Publication Date:14/08/2014
- Category:
- ISBN:9789812871671
Other Formats
- Paperback / softback from £44.99
Information
-
Download - Immediately Available
- Format:PDF
- Publisher:Springer Nature Singapore
- Publication Date:14/08/2014
- Category:
- ISBN:9789812871671
