DocumentCode
2852535
Title
A multi-stage classifier based algorithm of pedestrian detection in night with a near infrared camera in a moving car
Author
Sun, Hui ; Hua, Chengying ; Luo, Yupin
Author_Institution
Dept.of Autom., Tsinghua Univ., Beijing, China
fYear
2004
fDate
18-20 Dec. 2004
Firstpage
120
Lastpage
123
Abstract
The paper presents an algorithm of pedestrian detection in night using a near infrared camera which is installed in a moving car. To deal with several kinds of primary disturbances in the road, we adopt a multi-stage classifier which eliminates certain kinds of disturbances in every stage. In the final stage, a classifier based on 2D pedestrian shape model is especially designed to make decision. The speed of detection can be accelerated due to the multi-stage strategy. The experiment shows our method is promising.
Keywords
image classification; infrared imaging; road vehicles; moving car; multistage classifier based algorithm; near infrared camera; pedestrian detection; Acceleration; Cameras; Detection algorithms; Infrared detectors; Monitoring; Pixel; Roads; Shape; Switches; Videos;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Graphics (ICIG'04), Third International Conference on
Conference_Location
Hong Kong, China
Print_ISBN
0-7695-2244-0
Type
conf
DOI
10.1109/ICIG.2004.11
Filename
1410401
Link To Document