Learning directional co-occurrence for human action classification

Spatio-temporal interest point (STIP) based methods have shown promising results for human action classification. However, state-of-art works typically utilize bag-of-visual words (BoVW), which focuses on the statistical distribution of features but ignores their inherent structural relationships. T...

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Bibliographic Details
Main Authors: LIU, Hong, LIU, Mengyuan, SUN, Qianru
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2014
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Online Access:https://ink.library.smu.edu.sg/sis_research/4464
https://ink.library.smu.edu.sg/context/sis_research/article/5467/viewcontent/LEARNINGDIRECTIONALCO_OCCURRENCEFORHUMANACTIONCLASSIFICATION.pdf
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Institution: Singapore Management University
Language: English

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