结合粒子滤波和k均值的多鼠跟踪

XX Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2007) Pub Date : 2007-10-07 DOI:10.1109/SIBGRAPI.2007.39

W. Gonçalves, J. Monteiro, J. Silva, Bruno Brandoli Machado, H. Pistori, Valguima Odakura

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引用次数: 23

摘要

提出了一种结合粒子滤波和k均值的多目标跟踪方法。该方法已经在一个重要的现实世界的情况下进行了测试，与药理学发展有关，这也被证明是一个有趣的基础事实数据集提供者，用于评估跟踪算法。然后将得到的结果与其他模型进行比较。给出了这些实验的令人满意的结果。

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

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.

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来源期刊

XX Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2007)

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