scholarly journals DYNAMIC DISCRIMINATION METHOD OF FLOORS BEEN CONSIDERED TO BE INFERIOR BY FOOT TOUCHING

2014 ◽  
Vol 79 (701) ◽  
pp. 877-885
Author(s):  
Yutaka YOKOYAMA ◽  
Shintaro FUKUDA
Keyword(s):  
Dynamic Discrimination ◽  
Discrimination Method

Noise Discrimination Method for Partial Discharge Current Focused on Damped Oscillation Waveform

2018 ◽  
Vol 138 (2) ◽  
pp. 64-70
Author(s):  
Hirotaka Torii ◽  
Yuji Hayase ◽  
Keisuke Yamashiro ◽  
Satoshi Matsumoto
Keyword(s):  
Discharge Current ◽  
Partial Discharge ◽  
Damped Oscillation ◽  
Discrimination Method

scholarly journals Deep Learning-Based Congestion Detection at Urban Intersections

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 2052
Author(s):  
Xinghai Yang ◽  
Fengjiao Wang ◽  
Zhiquan Bai ◽  
Feifei Xun ◽  
Yulin Zhang ◽  
...  
Keyword(s):  
Deep Learning ◽  
Optical Flow ◽  
Traffic Congestion ◽  
Detection Algorithm ◽  
Input Image ◽  
Vehicle Speed ◽  
Position Information ◽  
Traffic State ◽  
State Discrimination ◽  
Discrimination Method

In this paper, a deep learning-based traffic state discrimination method is proposed to detect traffic congestion at urban intersections. The detection algorithm includes two parts, global speed detection and a traffic state discrimination algorithm. Firstly, the region of interest (ROI) is selected as the road intersection from the input image of the You Only Look Once (YOLO) v3 object detection algorithm for vehicle target detection. The Lucas-Kanade (LK) optical flow method is employed to calculate the vehicle speed. Then, the corresponding intersection state can be obtained based on the vehicle speed and the discrimination algorithm. The detection of the vehicle takes the position information obtained by YOLOv3 as the input of the LK optical flow algorithm and forms an optical flow vector to complete the vehicle speed detection. Experimental results show that the detection algorithm can detect the vehicle speed and traffic state discrimination method can judge the traffic state accurately, which has a strong anti-interference ability and meets the practical application requirements.

scholarly journals A Discrimination Method of Paper by Fourier Transform and Cross-Correlation

2000 ◽  
Vol 54 (3) ◽  
pp. 396-401,018 ◽  
Author(s):  
Hitomi Miyata ◽  
Makoto Shinozaki
Keyword(s):  
Fourier Transform ◽  
Cross Correlation ◽  
Discrimination Method
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