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

Authors:
Wesley Nunes Goncalves;Joao Bosco Oliveira Monteiro;Valguima Odakura
Affiliations:
Dom Bosco Catholic University, Brazil;Dom Bosco Catholic University, Brazil;TecSinapse, Brazil
Venue:
SIBGRAPI '07 Proceedings of the XX Brazilian Symposium on Computer Graphics and Image Processing
Year:
2007

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Mice and larvae tracking using a particle filter with an auto-adjustable observation model

Pattern Recognition Letters

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Abstract

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.