Extracting Discriminative Parts with Flexible Number from Low-Rank Features for Human Action Recognition

2016 ◽  
Vol 41 (8) ◽  
pp. 2987-3001 ◽  
Author(s):  
Shijian Huang ◽  
Junyong Ye ◽  
Tongqing Wang ◽  
Li Jiang ◽  
Yang Li ◽  
...  
2018 ◽  
Vol 291 ◽  
pp. 84-96 ◽  
Author(s):  
Min Huang ◽  
Guo-Rong Cai ◽  
Hong-Bo Zhang ◽  
Sheng Yu ◽  
Dong-Ying Gong ◽  
...  

2015 ◽  
Vol 40 (5) ◽  
pp. 1427-1441 ◽  
Author(s):  
Shijian Huang ◽  
Junyong Ye ◽  
Tongqing Wang ◽  
Li Jiang ◽  
Xuegang Wu ◽  
...  

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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