Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Human Action Analysis with Randomized Trees

Human Action Analysis with Randomized Trees

Liu, Zicheng
Yuan, Junsong
Yu, Gang

Paperback

Technology & EngineeringGeneral ComputersProgramming

ISBN10: 9812871667
ISBN13: 9789812871664
Publisher: Springer
Published: Aug 27 2014
Pages: 83
Weight: 0.31
Height: 0.19 Width: 6.14 Depth: 9.21
Language: English
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.

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