DocumentCode
2864012
Title
Vision-Based Distance Estimation for Multiple Vehicles Using Single Optical Camera
Author
Chen, Shi-Huang ; Chen, Ruie-Shen
Author_Institution
Dept. of Comput. Sci. & Inf. Eng., Shu-Te Univ., Kaohsiung, Taiwan
fYear
2011
fDate
16-18 Dec. 2011
Firstpage
9
Lastpage
12
Abstract
This paper presents a novel algorithm which can be applied in the telematic systems to detect the multiple vehicles´ distances. The characteristic of the proposed algorithm is that it only makes use of a single optical camera to capture images of vehicles and without using other auxiliary equipment. The working principle of the proposed algorithm is to use width of the license plate as the known information, and then calculate the pixel size of the license plate appeared in the CCD image. The extraction of the license plate region is performed by the image processing software. This paper derives a distance-pixel relation equation from the evaluation CCD images with known vehicles´ distances. After a simple mathematical operation, one can immediately obtain the distance information of multiple vehicles within the CCD image using the distance-pixel relation equation. This distance measure method can display the individual distance of multiple vehicles located at difference positions. Moreover, in comparison with other traditional methods, the overall structure of the proposed algorithm is quite simple. It just requires only a camera with a data processor and is very applicable in telematic systems.
Keywords
CCD image sensors; computer vision; distance measurement; object detection; traffic engineering computing; vehicles; CCD images; data processor; distance measure method; distance-pixel relation equation; image processing software; license plate region; mathematical operation; multiple vehicle distance detection; pixel size; single optical camera; telematic systems; vision-based distance estimation; Cameras; Equations; Estimation; Lenses; Licenses; Mathematical model; Vehicles; CCD; telematic system; vision-based distance measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovations in Bio-inspired Computing and Applications (IBICA), 2011 Second International Conference on
Conference_Location
Shenzhan
Print_ISBN
978-1-4577-1219-7
Type
conf
DOI
10.1109/IBICA.2011.7
Filename
6118814
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