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010   $a981-287-167-5
024 7 $a10.1007/978-981-287-167-1
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035   $a(EBL)1802772
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035   $a(PQKBTitleCode)TC0001338564
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035   $a(DE-He213)978-981-287-167-1
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035   $a(PPN)180624105
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100   $a20140814d2015      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aHuman action analysis with randomized trees /$fby Gang Yu, Junsong Yuan, Zicheng Liu
205   $a1st ed. 2015.
210  1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2015.
215   $a1 online resource (90 p.)
225 1 $aSpringerBriefs in Signal Processing,$x2196-4076
300   $aDescription based upon print version of record.
311   $a1-322-17580-2 
311   $a981-287-166-7 
320   $aIncludes bibliographical references.
327   $aIntroduction 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.
330   $aThis book will provide a comprehensive overview on human action analysis with randomized trees. It will cover both the supervised random trees and the unsupervised random trees. When there are sufficient amount of labeled data available, supervised random trees provides a fast method for space-time interest point matching. When labeled data is minimal as in the case of example-based action search, unsupervised random trees is used to leverage the unlabelled data. We describe how the randomized trees can be used for action classification, action detection, action search, and action prediction. We will also describe techniques for space-time action localization including branch-and-bound sub-volume search and propagative Hough voting.
410  0$aSpringerBriefs in Signal Processing,$x2196-4076
606   $aSignal processing
606   $aImage processing
606   $aSpeech processing systems
606   $aOptical data processing
606   $aProbabilities
606   $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051
606   $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021
606   $aProbability Theory and Stochastic Processes$3https://scigraph.springernature.com/ontologies/product-market-codes/M27004
615  0$aSignal processing.
615  0$aImage processing.
615  0$aSpeech processing systems.
615  0$aOptical data processing.
615  0$aProbabilities.
615 14$aSignal, Image and Speech Processing.
615 24$aImage Processing and Computer Vision.
615 24$aProbability Theory and Stochastic Processes.
676   $a150.721
700   $aYu$b Gang$4aut$4http://id.loc.gov/vocabulary/relators/aut$0739868
702   $aYuan$b Junsong$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aLiu$b Zicheng$4aut$4http://id.loc.gov/vocabulary/relators/aut
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910299693303321
996   $aHuman Action Analysis with Randomized Trees$92507766
997   $aUNINA