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Real-Time Object Tracking for AR

Student: Evgenii Tetin

Supervisor: Ilya Makarov

Faculty: Faculty of Computer Science

Educational Programme: Data Science (Master)

Year of Graduation: 2018

In this work the area of visual object tracking was explored, its features and peculiarities studied. The first two stages of a pose estimation algorithm “iPose” by Jafari et al. were implemented, including the instance segmentation network “Mask R-CNN” and the original object coordinate prediction neural network.

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