Human Action Analysis with Randomized Trees

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Éditeur :

Springer


Collection :

SpringerBriefs in Electrical and Computer Engineering

Paru le : 2014-08-14

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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.
Pages
83 pages
Collection
SpringerBriefs in Electrical and Computer Engineering
Parution
2014-08-14
Marque
Springer
EAN papier
9789812871664
EAN EPUB
9789812871671

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
8
Taille du fichier
2929 Ko
Prix
52,74 €