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Learning Methods for Effective Object Tracking in 3D Storytelling Augmented Reality  

Choi, Dae han (Dankook University of Electrical and Electronics Engineering)
Han, Woo ri (Satrec Initiative Co., Ltd.)
Lee, Yong-Hwan (Far East University, Department of Smart Mobile)
Kim, Youngseop (Dankook University of Electrical and Electronics Engineering)
Publication Information
Journal of the Semiconductor & Display Technology / v.15, no.3, 2016 , pp. 46-50 More about this Journal
Abstract
Recently, Depending on expectancy effect and ripple effect of augmented reality, the convergence between augmented reality and culture & arts are being actively conducted. This paper proposes a learning method for effective object tracking in 3D storytelling augmented reality in cultural properties. The proposed system is based on marker-less tracking, and there are four modules that are recognition, tracking, detecting and learning module. Recognition module is composed of SURF and LSH, and then this module generates standard object information. Tracking module tracks an object using object tracking based on reliability. This information is stored in Learning module along with learned time information. Detecting module finds out the object based on having the best possible knowledge available among the learned objects information, when the system fails to track. Also, it proposes a method for robustly implementing a 3D storytelling augmented reality in cultural properties in the future.
Keywords
3D storytelling Augmented Reality; Object Tracking; SURF; LSH; Learning Methods;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
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