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http://dx.doi.org/10.5573/ieie.2014.51.6.132

Traffic Lights Detection Based on Visual Attention and Spot-Lights Regions Detection  

Kim, JongBae (Department of Information and telecommunications, Seoul Digital University)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.51, no.6, 2014 , pp. 132-142 More about this Journal
Abstract
In this paper, we propose a traffic lights detection method using visual attention and spot-lights detection. To detect traffic lights in city streets at day and night time, the proposed method is used the structural form of a traffic lights such as colors, intensity, shape, textures. In general, traffic lights are installed at a position to increase the visibility of the drivers. The proposed method detects the candidate traffic lights regions using the top-down visual saliency model and spot-lights detect models. The visual saliency and spot-lights regions are positions of its difference from the neighboring locations in multiple features and multiple scales. For detecting traffic lights, by not using a color thresholding method, the proposed method can be applied to urban environments of variety changes in illumination and night times.
Keywords
traffic lights detection; visual attention; spot-lights detection;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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