集成粒子滤波的目标跟踪

2014 International Conference on Electronics, Information and Communications (ICEIC) Pub Date : 2014-10-02 DOI:10.1109/ELINFOCOM.2014.6914426

Z. Radosavljević, D. Musicki, B. Kovacevic, W. Kim, T. Song

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引用次数: 8

摘要

在混乱环境下的跟踪需要错误的跟踪判别和数据关联。我们将粒子滤波方法扩展到包含数据关联概率，并递归计算目标存在的概率。目标存在的概率可用来判别假航迹。

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Integrated particle filter for target tracking

Tracking in cluttered environments requires false track discrimination and data association. We extend the particle filter approach to include the data association probabilities and recursively calculate the probability of target existence. The probability of target existence may be used to discriminate false tracks.

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来源期刊

2014 International Conference on Electronics, Information and Communications (ICEIC)

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