Human action classification based on sequential bag-of-words model

Human action classification based on sequential bag-of-words model

Recently, approaches utilizing spatial-temporal features have achieved great success in human action classification. However, they typically rely on bag-of-words (BoWs) model, and ignore the spatial and temporal structure information of visual words, bringing ambiguities among similar actions. In th...

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Bibliographic Details
Main Authors: LIU, Hong, ZHANG, Qiaoduo, SUN, Qianru
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2014
Subjects:
Human action recognition
sequential model
bag-of-words
Computer Engineering
Software Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/4461
https://ink.library.smu.edu.sg/context/sis_research/article/5464/viewcontent/HumanActionClassificationBasedonSequentialBag_of_WordsModel_ROBIO2014.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/4461
https://ink.library.smu.edu.sg/context/sis_research/article/5464/viewcontent/HumanActionClassificationBasedonSequentialBag_of_WordsModel_ROBIO2014.pdf

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