Intraframe compression of radar image sequences for ship traffic control applications

1996 ◽  
Author(s):  
Alessandro Andreadis ◽  
Giuliano Benelli ◽  
Andrea Garzelli ◽  
S. Susini
Keyword(s):  
Traffic Control ◽  
Image Sequences ◽  
Radar Image ◽  
Control Applications ◽  
Ship Traffic

Ship-traffic control by means of neural networks applied to radar image sequences

1994 ◽  
Author(s):  
Alessandro Mecocci ◽  
Giuliano Benelli ◽  
Andrea Garzelli
Keyword(s):  
Neural Networks ◽  
Traffic Control ◽  
Image Sequences ◽  
Radar Image ◽  
Ship Traffic

Radar image processing for ship-traffic control

1995 ◽  
Vol 13 (2) ◽  
pp. 119-128 ◽  
Author(s):  
A Mecocci ◽  
G Benelli ◽  
A Garzelli ◽  
S Bottalico
Keyword(s):  
Image Processing ◽  
Traffic Control ◽  
Radar Image ◽  
Ship Traffic

Measuring Vehicle Queue Length with Video

2011 ◽  
Vol 179-180 ◽  
pp. 109-114
Author(s):  
Zhong Qin ◽  
Guang Ting Su ◽  
Yi Chen ◽  
Qi Zhou Liu ◽  
Min Huang
Keyword(s):  
Traffic Control ◽  
Queue Length ◽  
Image Sequences ◽  
Urban Traffic ◽  
Experimental Results ◽  
Signal Control ◽  
Detection Algorithms ◽  
Intersection Signal Control ◽  
Urban Traffic Control ◽  
Stop Line

Queue length behind the stop line is an important parameter in the model of intersection signal control which is the base of urban traffic control. In this paper, the detection algorithms of queue length by the image information are proposed. At first, the background differential is used to extract the vehicle after the stop line, and then the three regional of the left, straight and right are identified, and finally at the different regions, tail of the vehicles queue is detected based on the change of image sequences gray, so the queue length is measured. The experimental results confirmed the effectiveness of the algorithm.

Wind- and Wave-Field Measurements Using Marine X-Band Radar-Image Sequences

2005 ◽  
Vol 30 (3) ◽  
pp. 534-542 ◽  
Author(s):  
H. Dankert ◽  
J. Horstmann ◽  
W. Rosenthal
Keyword(s):  
Wave Field ◽  
Field Measurements ◽  
Image Sequences ◽  
Radar Image ◽  
X Band

Estimate of Tidal Constituents in Nearshore Waters Using X-Band Marine Radar Image Sequences

2016 ◽  
Vol 54 (11) ◽  
pp. 6700-6711 ◽  
Author(s):  
Zhongbiao Chen ◽  
Jiayi Pan ◽  
Yijun He ◽  
Adam T. Devlin
Keyword(s):  
Image Sequences ◽  
Radar Image ◽  
X Band ◽  
Marine Radar ◽  
Tidal Constituents
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