EAN: 9789812871664

SPRINGERBRIEFS IN ELECTRICAL AND COMPUTER ENGIN...

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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