Human Action Analysis with Randomized Trees (Paperback, 2015 ed.)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	SpringerBriefs in Electrical and Computer Engineering
Release date:	August 2014
First published:	2015
Authors:	Gang Yu • Junsong Yuan • Zicheng Liu
Dimensions:	235 x 155 x 5mm (L x W x T)
Format:	Paperback
Pages:	83
Edition:	2015 ed.
ISBN-13:	978-981-287-166-4
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Computing & IT > Applications of computing > Image processing > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
LSN:	981-287-166-7
Barcode:	9789812871664

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