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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Main Authors: | , , |
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Format: | text |
Language: | English |
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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 |