Event-based image processing using a neuromorphic vision sensor

Author(s):  
Jesus Armando Garcia Franco ◽  
Juan Luis del Valle Padilla ◽  
Susana Ortega Cisneros
2021 ◽  
Vol 8 (1) ◽  
pp. 206-218
Author(s):  
Guang Chen ◽  
Fa Wang ◽  
Xiaoding Yuan ◽  
Zhijun Li ◽  
Zichen Liang ◽  
...  

2020 ◽  
Vol 20 (17) ◽  
pp. 10211-10219 ◽  
Author(s):  
Guang Chen ◽  
Wenkai Chen ◽  
Qianyi Yang ◽  
Zhongcong Xu ◽  
Longyu Yang ◽  
...  

2020 ◽  
Vol 14 ◽  
Author(s):  
Bin Li ◽  
Hu Cao ◽  
Zhongnan Qu ◽  
Yingbai Hu ◽  
Zhenke Wang ◽  
...  

2020 ◽  
Vol 20 (11) ◽  
pp. 6170-6181 ◽  
Author(s):  
Guang Chen ◽  
Lin Hong ◽  
Jinhu Dong ◽  
Peigen Liu ◽  
Jorg Conradt ◽  
...  

2019 ◽  
Vol 2019 (13) ◽  
pp. 127-1-127-7
Author(s):  
Benjamin J. Foster ◽  
Dong Hye Ye ◽  
Charles A. Bouman

Nano Energy ◽  
2021 ◽  
pp. 106439
Author(s):  
Jianyu Du ◽  
Donggang Xie ◽  
Qinghua Zhang ◽  
Hai Zhong ◽  
Fanqi Meng ◽  
...  

2012 ◽  
Vol 21 (02) ◽  
pp. 1240003
Author(s):  
MOHAMMAD KHAZAB ◽  
DAN-NI AI ◽  
JEFFREY TWEEDALE ◽  
YEN-WEI CHEN ◽  
LAKHMI JAIN

This paper discusses the research conducted on developing a Multi-Agent System (MAS) for solving an image classification task. The aim of this research is to equip agents in MAS with reusable autonomous capabilities. The system provides a flexible framework for developing the communication aspects within an agent-oriented architecture to program agents that dynamically acquire functionality at runtime using event based messaging. In this research agents are equipped with unique image processing capabilities and required to interact and cooperate to achieve the goal. Complementary research on a variety of agent tools (specifically JACK, JADE and CIAgent) and communication languages (ACL, KQML, FIPA and SOAP) has been reviewed to glean knowledge that enables these agents to adapt those capabilities. The system has generated encouraging results.


Sign in / Sign up

Export Citation Format

Share Document