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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.
키워드
Augmented reality, RANSAC, Spatial augmented reality, Stitching, Tracking
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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