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Realtime Registration-Based Tracking via Approximate Nearest Neighbour Search

We introduce a new 2D visual tracking algorithm that utilizes an approximate nearest neighbour search to estimate per-frame state updates. We experimentally demonstrate that the new algorithm capable of estimating larger per-frame motions than the standard registration-based algorithms and that it is more robust in a vision-controlled robotic alignment task.