DocumentCode :
3127521
Title :
Motion estimation from sequential image using correlation
Author :
Kweon, In Soo ; Bao, Yue ; Fujiwara, N.
Author_Institution :
Kanazawa Univ., Japan
fYear :
1997
fDate :
9-12 Nov 1997
Firstpage :
775
Lastpage :
780
Abstract :
In this paper, we take aim at a flexible and active vehicle following system for autonomous vehicles. To realize the system, we use a license plate instead of the devices that receive and send signals. In order to gather information from a license plate, we propose three methods; one that continuously tracks a license plate, one that extracts the characters under conditions of changeable and uneven illumination, and one that calibrates the difference between the reference template image and the image selected by correlation. From these characters in a license plate, we can determine the relative distance and angle. The effectiveness of this system is shown by the experimental results
Keywords :
automated highways; automobiles; computer vision; correlation methods; image recognition; image sequences; motion estimation; autonomous vehicles; correlation; flexible active vehicle following system; license plate; motion estimation; sequential image; Cities and towns; Data mining; Humans; Licenses; Lighting; Mobile robots; Motion estimation; Remotely operated vehicles; Safety; Senior citizens;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Transportation System, 1997. ITSC '97., IEEE Conference on
Conference_Location :
Boston, MA
Print_ISBN :
0-7803-4269-0
Type :
conf
DOI :
10.1109/ITSC.1997.660572
Filename :
660572
Link To Document :
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