
제목 |
Night Vehicle Detection using
Variable Haar-Like Feature |
저자명 |
Jae-do KIM, Sang-hee KIM, Young-joon HAN, Hern-soo HAHN |
국문초록 |
This paper proposes a night-time vehicle detection
method using variable Haar-like feature. The specific features of front
vehicle cannot be obtained in road image at night-time because of light
reflection and ambient light, and it is also difficult to define optimal
brightness and color of rear lamp according to road conditions. In
comparison, the difference of vehicle region and road surface is more robust
for road illumination environment. Thus, we select the candidates of vehicles
by analyzing the difference, and verify the candidates using those brightness
and complexity to detect vehicle correctly. The feature of brightness
difference is detected using variable horizontal Haar-like mask according to
vehicle size in the location of image. And the region occurring rapid change
is selected as the candidate. The proposed method is evaluated by testing on
the various real road conditions. |
원문 수록처 |
Jounal of Measurement
Science and Instrumentation, Vol.2(No.4), pp. 337 ~ 340 |
자료유형 |
International Journal |