Human Action Analysis with Randomized Trees

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...

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Main Authors: Yu, Gang. (Author, http://id.loc.gov/vocabulary/relators/aut), Yuan, Junsong. (http://id.loc.gov/vocabulary/relators/aut), Liu, Zicheng. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2015.
Edition:1st ed. 2015.
Series:SpringerBriefs in Signal Processing,
Subjects:
Online Access:https://doi.org/10.1007/978-981-287-167-1
Table of Contents:
  • 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.