Robotics: Science and Systems IX
Realtime Registration-Based Tracking via Approximate Nearest Neighbour Search
Travis Dick, Camilo Perez, Martin Jagersand, Azad ShademanAbstract:
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 is more efficient than the standard registration-based tracking algorithms and that it is capable of accurately estimating larger per-frame motions. Finally, the algorithm is demonstrated to be more robust in a vision-controlled robotic alignment task.
Bibtex:
@INPROCEEDINGS{Dick-RSS-13, AUTHOR = {Travis Dick AND Camilo Perez AND Martin Jagersand AND Azad Shademan}, TITLE = {Realtime Registration-Based Tracking via Approximate Nearest Neighbour Search}, BOOKTITLE = {Proceedings of Robotics: Science and Systems}, YEAR = {2013}, ADDRESS = {Berlin, Germany}, MONTH = {June}, DOI = {10.15607/RSS.2013.IX.044} }