Neural Graph Matching Networks for Fewshot 3D Action Recognition

2018 ◽  
pp. 673-689 ◽  
Author(s):  
Michelle Guo ◽  
Edward Chou ◽  
De-An Huang ◽  
Shuran Song ◽  
Serena Yeung ◽  
...  
Keyword(s):  
Action Recognition ◽  
Graph Matching ◽  
Matching Networks

scholarly journals Context-Dependent Random Walk Graph Kernels and Tree Pattern Graph Matching Kernels With Applications to Action Recognition

2018 ◽  
Vol 27 (10) ◽  
pp. 5060-5075 ◽  
Author(s):  
Weiming Hu ◽  
Baoxin Wu ◽  
Pei Wang ◽  
Chunfeng Yuan ◽  
Yangxi Li ◽  
...  
Keyword(s):  
Random Walk ◽  
Action Recognition ◽  
Graph Matching ◽  
Graph Kernels ◽  
Tree Pattern ◽  
Context Dependent ◽  
Pattern Graph

scholarly journals Multilevel Graph Matching Networks for Deep Graph Similarity Learning

2021 ◽  
pp. 1-15
Author(s):  
Xiang Ling ◽  
Lingfei Wu ◽  
Saizhuo Wang ◽  
Tengfei Ma ◽  
Fangli Xu ◽  
...  
Keyword(s):  
Graph Matching ◽  
Similarity Learning ◽  
Graph Similarity ◽  
Matching Networks

scholarly journals Human action recognition using graph matching

2019 ◽  
Author(s):  
Ashwan A. Abdulmunem ◽  
Yu-Kun Lai ◽  
Ahmed K. Hassan ◽  
Xianfang Sun
Keyword(s):  
Action Recognition ◽  
Graph Matching ◽  
Human Action Recognition ◽  
Human Action

scholarly journals Neural Graph Matching Networks for Chinese Short Text Matching

2020 ◽  
Author(s):  
Lu Chen ◽  
Yanbin Zhao ◽  
Boer Lyu ◽  
Lesheng Jin ◽  
Zhi Chen ◽  
...  
Keyword(s):  
Graph Matching ◽  
Short Text ◽  
Matching Networks ◽  
Text Matching

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

2013 ◽  
Vol 18 (2-3) ◽  
pp. 49-60 ◽  
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.

Deep Learning for Human Action Recognition Survey

2018 ◽  
Vol 6 (10) ◽  
pp. 323-328
Author(s):  
K.Kiruba . ◽  
D. Shiloah Elizabeth ◽  
C Sunil Retmin Raj
Keyword(s):  
Deep Learning ◽  
Action Recognition ◽  
Human Action Recognition ◽  
Human Action
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