Action classification by exploring directional co-occurrence of weighted STIPs

Action classification by exploring directional co-occurrence of weighted STIPs

Human action recognition is challenging mainly due to intro-variety, inter-ambiguity and clutter backgrounds in real videos. Bag-of-visual words model utilizes spatio-temporal interest points(STIPs), and represents action by the distribution of points which ignores visual context among points. To ad...

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Bibliographic Details
Main Authors: LIU, Mengyuan, LIU, Hong, SUN, Qianru
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2014
Subjects:
Human action recognition
spatio-temporal interest points
bag-of-words
Computer Engineering
Software Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/4463
https://ink.library.smu.edu.sg/context/sis_research/article/5466/viewcontent/ICIP2014_liumengyuan.pdf
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Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/sis_research/4463
https://ink.library.smu.edu.sg/context/sis_research/article/5466/viewcontent/ICIP2014_liumengyuan.pdf

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