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http://dx.doi.org/10.9717/kmms.2016.19.2.252

Road Sign Recognition and Geo-content Creation Schemes for Utilizing Road Sign Information  

Seung, Teak-Young (Dept. of IT Convergence and Application Eng., Pukyong National University)
Moon, Kwang-Seok (Dept. of Electronics Eng., Pukyong National University)
Lee, Suk-Hwan (Dept. of Information Security, Tongmyong University)
Kwon, Ki-Ryong (Dept. of IT Convergence and Application Eng., Pukyong National University)
Publication Information
Journal of Korea Multimedia Society / v.19, no.2, 2016 , pp. 252-263 More about this Journal
Abstract
Road sign is an important street furniture that gives some information such as road conditions, driving direction and condition for a driver. Thus, road sign is a major target of image recognition for self-driving car, ADAS(autonomous vehicle and intelligent driver assistance systems), and ITS(intelligent transport systems). In this paper, an enhanced road sign recognition system is proposed for MMS(Mobile Mapping System) using the single camera and GPS. For the proposed system, first, a road sign recognition scheme is proposed. this scheme is composed of detection and classification step. In the detection step, object candidate regions are extracted in image frames using hybrid road sign detection scheme that is based on color and shape features of road signs. And, in the classification step, the area of candidate regions and road sign template are compared. Second, a Geo-marking scheme for geo-content that is consist of road sign image and coordinate value is proposed. If the serious situation such as car accident is happened, this scheme can protect geographical information of road sign against illegal users. By experiments with test video set, in the three parts that are road sign recognition, coordinate value estimation and geo-marking, it is confirmed that proposed schemes can be used for MMS in commercial area.
Keywords
Road Sign Recognition; Geo-content Creation; Camera; GPS; Geo-marking;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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