Jae-do KIM1, Sang-hee KIM2, Young-joon HAN1, Hern-soo HAHN1
(1. Dept. of Electronic Engineering, Soongsil University, Seoul 156-743, Korea; 2. Metabuild Co., Seoul, Korea)
Abstract-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 analysing 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.
Key words-vehicle detection; variable Haar-like feature; brightness distribution analysis
Manuscript Number: 1674-8042(2011)04-0337-04
doi: 10.3969/j.issn.1674-8042.2011.04.008
References
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