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http://dx.doi.org/10.9723/jksiis.2013.18.2.019

Road Tracking based on Prior Information in Video Sequences  

Lee, Chang Woo (군산대학교 컴퓨터정보공학과)
Publication Information
Journal of Korea Society of Industrial Information Systems / v.18, no.2, 2013 , pp. 19-25 More about this Journal
Abstract
In this paper, we propose an approach to tracking road regions from video sequences. The proposed method segments and tracks road regions by utilizing the prior information from the result of the previous frame. For the efficiency of the system, we have a simple assumption that the road region is usually shown in the lower part of input images so that lower 60% of input images is set to the region of interest(ROI). After initial segmentation using flood-fill algorithm, we merge neighboring regions based on color similarity measure. The previous segmentation result, in which seed points for the successive frame are extracted, is used as prior information to segment the current frame. The similarity between the road region of the previous frame and that of the current frame is measured by the modified Jaccard coefficient. According to the similarity we refine and track the detected road regions. The experimental results reveal that the proposed method is effective to segment and track road regions in noisy and non-noisy environments.
Keywords
Road Tracking; Road Segmentation; Flood-fill Algorithm; Jaccard Coefficient; Seed Point;
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Times Cited By KSCI : 2  (Citation Analysis)
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