Mice and larvae tracking using a particl
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Hemerson Pistori; Valguima Victoria Viana Aguiar Odakura; JoΓ£o Bosco Oliveira Mo
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Article
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2010
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Elsevier Science
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English
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This paper proposes a novel way to combine different observation models in a particle filter framework. This, so called, auto-adjustable observation model, enhance the particle filter accuracy when the tracked objects overlap without infringing a great runtime penalty to the whole tracking system. T