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학술지 Robust Multithreaded Object Tracker through Occlusions for Spatial Augmented Reality
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저자
이아현, 장인성
발행일
201804
출처
ETRI Journal, v.40 no.2, pp.246-256
ISSN
1225-6463
출판사
한국전자통신연구원 (ETRI)
DOI
https://dx.doi.org/10.4218/etrij.2017-0047
협약과제
17GH1500, 공간정보 오픈플랫폼 아키텍처 및 소프트웨어 고도화, 장인성
초록
A spatial augmented reality (SAR) system enables a virtual image to be projected onto the surface of a real-world object and the user to intuitively control the image using a tangible interface. However, occlusions frequently occur, such as a sudden change in the lighting environment or the generation of obstacles. We propose a robust object tracker based on a multithreaded system, which can track an object robustly through occlusions. Our multithreaded tracker is divided into two threads: the detection thread detects distinctive features in a frame-to-frame manner, and the tracking thread tracks features periodically using an optical-flow-based tracking method. Consequently, although the speed of the detection thread is considerably slow, we achieve real-time performance owing to the multithreaded configuration. Moreover, the proposed outlier filtering automatically updates a random sample consensus distance threshold for eliminating outliers according to environmental changes. Experimental results show that our approach tracks an object robustly in real-time in an SAR environment where there are frequent occlusions occurring from augmented projection images.
KSP 제안 키워드
Augmented reality(AR), Distance Threshold, Distinctive features, Environmental change, Flow-based, Lighting environment, Optical Flow, Random sample consensus, Real-time performance, Real-world, Spatial augmented reality
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