DocumentCode
2503857
Title
Vehicles detection based on extremas in nighttime driving scene
Author
Ogura, Ryota ; Ohashi, Gosuke
Author_Institution
Grad. Sch. of Eng., Shizuoka Univ., Shizuoka, Japan
fYear
2012
fDate
2-5 Oct. 2012
Firstpage
679
Lastpage
682
Abstract
The purpose of this study is to identify vehicles by detecting lights based on extremas in nighttime. This method has focused on headlights of vehicle that are high brightness and taillights of vehicle that are red in nighttime. Headlights are detected by grayscale images, and taillights are detected by red extracted images. In fact, The usefulness of this method is confirmed by using in-vehicle camera images.
Keywords
cameras; object detection; road vehicles; traffic engineering computing; high brightness; in vehicle camera image; nighttime driving scene; red extracted image; vehicle headlights; vehicles detection; Brightness; Cameras; Computer vision; Feature extraction; Laplace equations; Roads; Vehicles; CenSurE; Extremas; ITS; In-vehicle camera image; Nighttime Driving Scene;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Electronics (GCCE), 2012 IEEE 1st Global Conference on
Conference_Location
Tokyo
Print_ISBN
978-1-4673-1500-5
Type
conf
DOI
10.1109/GCCE.2012.6379950
Filename
6379950
Link To Document