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Detection of Visual Attended Regions in Road Images for Assisting Safety Driving  

Kim, Jong-Bae (Department of Computer Engineering, Seoul Digital University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SC / v.49, no.1, 2012 , pp. 94-102 More about this Journal
Abstract
Recently entered into an aging socity as the number of elderly drivers is increasing. Traffic accidents of elderly drivers are caused by driver inattentions such as poor vehicle control due to aging, visual information retrieval problems caused by presbyopia, and objects identifying problems caused by low contrast sensitivity. In this paper, detection method of ROIs on the road is proposed. The proposed method creates the saliency map to detect the candidate ROIs from the input image. And, the input image is segmented to obtain the ROIs boundary. Finally, selective visual attention regions are detected according to the presence or absence of a segmented region with saliency pixels. Experimental results from a variety of outdoor environmental conditions, the proposed method presented a fast object detection and a high detection rate.
Keywords
Saliency models; ADAS; Mean-shift algorithm; ROI detection;
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Times Cited By KSCI : 1  (Citation Analysis)
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