Gang Yu & Junsong Yuan 
Human Action Analysis with Randomized Trees [PDF ebook] 

Apoio

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.

€53.49
Métodos de Pagamento

Tabela de Conteúdo

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.

Compre este e-book e ganhe mais 1 GRÁTIS!
Língua Inglês ● Formato PDF ● Páginas 83 ● ISBN 9789812871671 ● Tamanho do arquivo 3.8 MB ● Editora Springer Singapore ● Cidade Singapore ● País SG ● Publicado 2014 ● Carregável 24 meses ● Moeda EUR ● ID 5047266 ● Proteção contra cópia DRM social

Mais ebooks do mesmo autor(es) / Editor

18.765 Ebooks nesta categoria