Multiple Mice Tracking using a Combination of Particle Filter and K-Means

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This paper presents a new approach to multiple objects tracking that combines particle ﬁlters and k-means. The approach has been tested under an important real world situation, related to pharmacological development, which has also proved to serve as an interesting ground-truth dataset provider for the evaluation of tracking algorithms. The obtained results are then compared to other models. The promising results of these experiments are presented.

Wesley Nunes Gonçalves, João Bosco O

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Combines Particle ﬁlters | Computer Graphics | Interesting Ground-truth Dataset | Real World Situation | SIBGRAPI 2007 |

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Added	04 Jun 2010
Updated	04 Jun 2010
Type	Conference
Year	2007
Where	SIBGRAPI
Authors	Wesley Nunes Gonçalves, João Bosco Oliveira Monteiro, Jonathan de Andrade Silva, Bruno Brandoli Machado, Hemerson Pistori, Valguima Odakura

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Multiple Mice Tracking using a Combination of Particle Filter and K-Means

Combines Particle ﬁlters | Computer Graphics | Interesting Ground-truth Dataset | Real World Situation | SIBGRAPI 2007 |

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