大葉大學圖書館 |

Human action analysis with randomized trees[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	511.52
書名/作者:	Human action analysis with randomized trees/ by Gang Yu, Junsong Yuan, Zicheng Liu.
作者:	Yu, Gang.
其他作者:	Yuan, Junsong.
出版者:	Singapore : : Springer Singapore :, 2015.
面頁冊數:	viii, 83 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Trees (Graph theory)
標題:	Human behavior - Research.
標題:	Engineering.
標題:	Signal, Image and Speech Processing.
標題:	Image Processing and Computer Vision.
標題:	Probability Theory and Stochastic Processes.
ISBN:	9789812871671 (electronic bk.)
ISBN:	9789812871664 (paper)
內容註:	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.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-981-287-167-1

Human action analysis with randomized trees[electronic resource] /
Yu, Gang.

Human action analysis with randomized trees[electronic resource] /by Gang Yu, Junsong Yuan, Zicheng Liu. - Singapore :Springer Singapore :2015. - viii, 83 p. :ill., digital ;24 cm. - Springer briefs in electrical and computer engineering. Signal processing,2191-8112. - Springer briefs in electrical and computer engineering.Signal processing..

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.

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: 9789812871671 (electronic bk.)

Standard No.: 10.1007/978-981-287-167-1doiSubjects--Topical Terms:

602417
Trees (Graph theory)

LC Class. No.: QA166.2

Dewey Class. No.: 511.52

Human action analysis with randomized trees[electronic resource] /
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