Pulse Coupled Neural Network Algorithm for Object Detection in Infrared Image

2009 ◽  
Author(s):  
Hongzhao Yuan ◽  
Guifa Hou ◽  
Yong Li
Keyword(s):  
Neural Network ◽  
Object Detection ◽  
Infrared Image ◽  
Pulse Coupled Neural Network ◽  
Network Algorithm ◽  
Neural Network Algorithm

scholarly journals The implementation of an object detection algorithm on the FT processor

2018 ◽  
Vol 173 ◽  
pp. 03081
Author(s):  
Bin Li ◽  
Shuming Chen ◽  
Chao Yang
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Object Detection ◽  
Real Time ◽  
Detection Algorithm ◽  
Utilization Rate ◽  
Time Requirement ◽  
Processor Performance ◽  
Network Algorithm ◽  
Neural Network Algorithm

With the continuous development of automatic drive and neural networks, it is possible to use neural network algorithm to carry out object detection in unmanned driving. Usually, the computation of neural network algorithm is huge. How to efficiently compute the algorithm and meet the real-time requirement is a challenge. In this paper, a sparse neural network algorithm is proposed, which can improve the utilization rate of processors. The object detection algorithm YOLO is implemented on the processor. Its performance is equivalent to the current best processor performance.

A NEURAL NETWORK ALGORITHM FOR DENSITY MEASUREMENT OF MULTIPHASE FLOW

2012 ◽  
Vol 24 (2) ◽  
pp. 89-103 ◽  
Author(s):  
Nabeel Al-Rawahi ◽  
Mahmoud Meribout ◽  
Ahmed Al-Naamany ◽  
Ali Al-Bimani ◽  
Adel Meribout
Keyword(s):  
Neural Network ◽  
Multiphase Flow ◽  
Density Measurement ◽  
Network Algorithm ◽  
Neural Network Algorithm
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