Exploiting Sub-region Deep Features for Specific Action Recognition in Combat Sports Video

Advances in Multimedia Information Processing – PCM 2017 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-77383-4_19 ◽

2018 ◽

pp. 192-201 ◽

Cited By ~ 1

Author(s):

Yongqiang Kong ◽

Zhaoqiang Wei ◽

Zhengang Wei ◽

Shengke Wang ◽

Feng Gao

Keyword(s):

Action Recognition ◽

Combat Sports ◽

Sports Video

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Summarization of User-Generated Sports Video by Using Deep Action Recognition Features

IEEE Transactions on Multimedia ◽

10.1109/tmm.2018.2794265 ◽

2018 ◽

Vol 20 (8) ◽

pp. 2000-2011 ◽

Cited By ~ 9

Author(s):

Antonio Tejero-de-Pablos ◽

Yuta Nakashima ◽

Tomokazu Sato ◽

Naokazu Yokoya ◽

Marko Linna ◽

...

Keyword(s):

Action Recognition ◽

Sports Video

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Action Recognition in Sports Video Considering Location Information

Communications in Computer and Information Science - Frontiers of Computer Vision ◽

10.1007/978-981-15-4818-5_12 ◽

2020 ◽

pp. 150-164

Author(s):

Rina Ichige ◽

Yoshimitsu Aoki

Keyword(s):

Action Recognition ◽

Location Information ◽

Sports Video

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A realtime human action recognition method based on single view key poses in sports video

6th International Conference on Wireless, Mobile and Multi-Media (ICWMMN 2015) ◽

10.1049/cp.2015.0941 ◽

2015 ◽

Author(s):

Zeyu Liu ◽

Zhenjiang Miao ◽

Yuting Huo

Keyword(s):

Action Recognition ◽

Human Action Recognition ◽

Human Action ◽

Recognition Method ◽

Single View ◽

Sports Video

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Human action recognition-based video summarization for RGB-D personal sports video

2016 IEEE International Conference on Multimedia and Expo (ICME) ◽

10.1109/icme.2016.7552938 ◽

2016 ◽

Cited By ~ 3

Author(s):

Antonio Tejero-de-Pablos ◽

Yuta Nakashima ◽

Tomokazu Sato ◽

Naokazu Yokoya

Keyword(s):

Action Recognition ◽

Video Summarization ◽

Human Action Recognition ◽

Human Action ◽

Sports Video

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Action recognition for sports video analysis using part-attention spatio-temporal graph convolutional network

Journal of Electronic Imaging ◽

10.1117/1.jei.30.3.033017 ◽

2021 ◽

Vol 30 (03) ◽

Author(s):

Jiatong Liu ◽

Yanli Che

Keyword(s):

Action Recognition ◽

Video Analysis ◽

Convolutional Network ◽

Sports Video ◽

Sports Video Analysis ◽

Temporal Graph ◽

Spatio Temporal

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Research on Action Recognition of Player in Broadcast Sports Video

International Journal of Multimedia and Ubiquitous Engineering ◽

10.14257/ijmue.2014.9.10.29 ◽

2014 ◽

Vol 9 (10) ◽

pp. 297-306 ◽

Cited By ~ 4

Author(s):

Gang Liu ◽

Deming Zhang ◽

Hui Li

Keyword(s):

Action Recognition ◽

Sports Video

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The effect of excessive violence in sports video games on aggressive affect, cognition, and behavior

PsycEXTRA Dataset ◽

10.1037/e511092014-038 ◽

2006 ◽

Author(s):

Nicholas L. Carnagey ◽

Jessica R. Mugge ◽

Craig A. Anderson

Keyword(s):

Video Games ◽

Sports Video ◽

And Behavior

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Human action recognition using simple geometric features and a finite state machine

Image Processing & Communications ◽

10.2478/v10248-012-0079-y ◽

2013 ◽

Vol 18 (2-3) ◽

pp. 49-60 ◽

Cited By ~ 2

Author(s):

Damian Dudzńiski ◽

Tomasz Kryjak ◽

Zbigniew Mikrut

Keyword(s):

Action Recognition ◽

Finite State Machine ◽

Recognition Rate ◽

Human Action Recognition ◽

Human Action ◽

Video Stream ◽

State Machine ◽

Recognition Algorithm ◽

Finite State ◽

Correct Recognition Rate

Abstract In this paper a human action recognition algorithm, which uses background generation with shadow elimination, silhouette description based on simple geometrical features and a finite state machine for recognizing particular actions is described. The performed tests indicate that this approach obtains a 81 % correct recognition rate allowing real-time image processing of a 360 X 288 video stream.

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