A Very Deep Sequences Learning Approach for Human Action Recognition

Author(s):  
Zhihui Lin ◽  
Chun Yuan
Author(s):  
Gopika Rajendran ◽  
Ojus Thomas Lee ◽  
Arya Gopi ◽  
Jais jose ◽  
Neha Gautham

With the evolution of computing technology in many application like human robot interaction, human computer interaction and health-care system, 3D human body models and their dynamic motions has gained popularity. Human performance accompanies human body shapes and their relative motions. Research on human activity recognition is structured around how the complex movement of a human body is identified and analyzed. Vision based action recognition from video is such kind of tasks where actions are inferred by observing the complete set of action sequence performed by human. Many techniques have been revised over the recent decades in order to develop a robust as well as effective framework for action recognition. In this survey, we summarize recent advances in human action recognition, namely the machine learning approach, deep learning approach and evaluation of these approaches.


Author(s):  
Huy Hieu Pham ◽  
Houssam Salmane ◽  
Louahdi Khoudour ◽  
Alain Crouzil ◽  
Pablo Zegers ◽  
...  

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Yousry Abdulazeem ◽  
Hossam Magdy Balaha ◽  
Waleed M. Bahgat ◽  
Mahmoud Badawy

2021 ◽  
Vol 1042 (1) ◽  
pp. 012031
Author(s):  
Badhagouni Suresh Kumar ◽  
S. Viswanadha Raju ◽  
H.Venkateswara Reddy

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