Action disambiguation analysis using normalized google-like distance correlogram

Action disambiguation analysis using normalized google-like distance correlogram

Classifying realistic human actions in video remains challenging for existing intro-variability and inter-ambiguity in action classes. Recently, Spatial-Temporal Interest Point (STIP) based local features have shown great promise in complex action analysis. However, these methods have the limitation...

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Bibliographic Details
Main Authors: SUN, Qianru, LIU, Hong
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2012
Subjects:
Human action recognition
Spatial-Temporal Interest Point
Normalized Google-Like Distance
Computer Engineering
Software Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/4467
https://ink.library.smu.edu.sg/context/sis_research/article/5470/viewcontent/116_accv2012finalpaper.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/4467
https://ink.library.smu.edu.sg/context/sis_research/article/5470/viewcontent/116_accv2012finalpaper.pdf

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