Title :
Vehicle detection in color images
Author :
Rojas, Juan Carlos ; Crisman, Jill D.
Author_Institution :
Northeastern Univ., Boston, MA, USA
Abstract :
The AutoColor vehicle detection is a system that detects vehicles in images under different weather conditions. It first uses a novel color model of the road to classify each pixel lying on the road surface as either road or nonroad. The nonroad pixels are filtered and grouped into regions in the image. The regions are then back-projected to the ground plane and merged into vehicle rectangles. The AutoColor system is capable of detecting more than 90% of the vehicles under different weather conditions, including rainy and with strong shadows
Keywords :
filtering theory; image recognition; object recognition; road vehicles; AutoColor vehicle detection; back-projection; color images; nonroad pixels; pixel classification; rain; strong shadows; Cameras; Color; Focusing; Land vehicles; Pixel; Road vehicles; Surface fitting; Telecommunication traffic; Traffic control; Vehicle detection;
Conference_Titel :
Intelligent Transportation System, 1997. ITSC '97., IEEE Conference on
Conference_Location :
Boston, MA
Print_ISBN :
0-7803-4269-0
DOI :
10.1109/ITSC.1997.660509
