Human Action Recognition Based on Dense Sampling of Motion Boundary and Histogram of Motion Gradient

Author(s):  
Min Fan ◽  
Qi Han ◽  
Xi Zhang ◽  
Yaling Liu ◽  
Huan Chen ◽  
...  
2020 ◽  
Vol 14 (6) ◽  
pp. 378-390
Author(s):  
Cheng Peng ◽  
Haozhi Huang ◽  
Ah-Chung Tsoi ◽  
Sio-Long Lo ◽  
Yun Liu ◽  
...  

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

ROBOT ◽  
2012 ◽  
Vol 34 (6) ◽  
pp. 745 ◽  
Author(s):  
Bin WANG ◽  
Yuanyuan WANG ◽  
Wenhua XIAO ◽  
Wei WANG ◽  
Maojun ZHANG

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