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http://dx.doi.org/10.4313/JKEM.2012.25.1.76

A Real-time Indoor Place Recognition System Using Image Features Detection  

Song, Bok-Deuk (Department of IT Application Engineering, Busan National University)
Shin, Bum-Joo (Department of IT Application Engineering, Busan National University)
Yang, Hwang-Kyu (Division of Computer and Information Engineering, Dongseo University)
Publication Information
Journal of the Korean Institute of Electrical and Electronic Material Engineers / v.25, no.1, 2012 , pp. 76-83 More about this Journal
Abstract
In a real-time indoor place recognition system using image features detection, specific markers included in input image should be detected exactly and quickly. However because the same markers in image are shown up differently depending to movement, direction and angle of camera, it is required a method to solve such problems. This paper proposes a technique to extract the features of object without regard to change of the object scale. To support real-time operation, it adopts SURF(Speeded up Robust Features) which enables fast feature detection. Another feature of this system is the user mark designation which makes possible for user to designate marks from input image for location detection in advance. Unlike to use hardware marks, the feature above has an advantage that the designated marks can be used without any manipulation to recognize location in input image.
Keywords
Image features detection; Place recognition; Place recognize marker;
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