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11

ICRA
2007
IEEE

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A Moment-based 3D Object Tracking Algorithm for High-speed Vision

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A Moment-based 3D Object Tracking Algorithm for High-speed Vision

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— In this paper we propose a method of realizing continuous tracking of a three-dimensional object by calculating moments of a translating and rotating object whose shape is known, either analytically or by using a table, and matching them with those of the input image. In simulation, the position and orientation is accurately recognized. Using a noise model and particle ﬁlter, we show that the position and orientation can be recognized even with noisy images.

Takashi Komuro, Masatoshi Ishikawa

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Continuous Tracking | ICRA 2007 | Input Image | Robotics | Three-dimensional Object |

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Added	03 Jun 2010
Updated	03 Jun 2010
Type	Conference
Year	2007
Where	ICRA
Authors	Takashi Komuro, Masatoshi Ishikawa

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