scholarly journals A Survey on Bayesian Learning Model for Human Action Recognition

2018 ◽  
Vol 1087 ◽  
pp. 062011
Author(s):  
Qi Xuan Wang
2019 ◽  
Vol 6 (6) ◽  
pp. 9280-9293 ◽  
Author(s):  
Zan Gao ◽  
Hai-Zhen Xuan ◽  
Hua Zhang ◽  
Shaohua Wan ◽  
Kim-Kwang Raymond Choo

2020 ◽  
Vol 93 ◽  
pp. 103818 ◽  
Author(s):  
Ye Gu ◽  
Xiaofeng Ye ◽  
Weihua Sheng ◽  
Yongsheng Ou ◽  
Yongqiang Li

2013 ◽  
Vol 18 (2-3) ◽  
pp. 49-60 ◽  
Author(s):  
Damian Dudzńiski ◽  
Tomasz Kryjak ◽  
Zbigniew Mikrut

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.


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

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