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Human Action Analysis with Randomized Trees (Paperback, 2015 ed.)
Loot Price: R1,757
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Human Action Analysis with Randomized Trees (Paperback, 2015 ed.)
Series: SpringerBriefs in Electrical and Computer Engineering
Expected to ship within 10 - 15 working days
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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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