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
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;
Conference_Titel :
Consumer Electronics (GCCE), 2012 IEEE 1st Global Conference on
Conference_Location :
Tokyo
Print_ISBN :
978-1-4673-1500-5
DOI :
10.1109/GCCE.2012.6379950
