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http://dx.doi.org/10.3745/KIPSTB.2007.14-B.3.191

Marker Recognition System for the User Interface of a Serious Case  

So, In-Mi (원광대학교 컴퓨터공학과 대학원)
Kang, Sun-Kyung (원광대학교 컴퓨터공학과 대학원)
Kim, Young-Un (원광대학교 컴퓨터공학과 대학원)
Jung, Sung-Tae (원광대학교 전기전자 및 정보공학부)
Abstract
In this paper, we present a marker detection and recognition method from camera image for a disabled person to interact with a server system which can control appliance of surrounding environment. It converts the camera image to a binary image by using multi-threshold and extracts contours of objects in the binary image. After that, it approximates the contours to a list of line segments. It finds rectangular markers by using geometrical features which are extracted from the approximated line segments. It normalizes the shape of extracted markers into exact squares by using the warping technique. It extracts feature vectors from marker image by using principal component analysis and then recognizes the marker. The proposed marker recognition system is robust for light change by using multi-threshold. Also, it is robust for angular variation of camera by using warping technique and principal component analysis. Experimental results show that the proposed method achieves 100% recognition rate at maximum for 21 markers and execution speed of 12 frames/sec.
Keywords
Marker Detection; Marker Recognition; PCA; Healthcare;
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