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Automatic tracking of swimming koi using a particle filter with a center-surrounding cue

文献类型： 外文期刊

作者： Jiang, Yu 1 ; Fang, Jingjing 3 ; Li, Zhenbo 1 ; Yue, Jun 4 ; Wang, Zhicheng 5 ; Li, Daoliang 1 ;

作者机构： 1.China Agr Univ, China EU Ctr ICT Agr, Beijing 100083, Peoples R China

2.Beijing ERC Adv Sensor Technol Agr, Beijing 100083, Peoples R China

3.China Agr Univ, Coll Informat & Elect Engn, Beijing 100083, Peoples R China

4.Ludong Univ, Coll Informat & Elect Engn, Yantai 264025, Peoples R China

5.Shandong Acad Agr Sci, Jinan 250100, PR, Peoples R China

关键词： Koi;Behavior analysis;Particle filter;Video tracking

期刊名称：MATHEMATICAL AND COMPUTER MODELLING （ 影响因子：1.366； 五年影响因子：1.602 ）

ISSN：

年卷期：

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收录情况： SCI

摘要： Automatic analysis of the swimming posture of koi is very useful for determining the growth status and ornamental value of these fish. We propose an automatic tracking method based on a particle filter to measure the swimming posture of koi. In water, traditional color-based particle filters are unable to deal with issues such as shadows, reflections and abrupt motion, a novel matching function was investigated for the particle filter for tracking koi motion in water. First a particle filter with a traditional color histogram matching function is used for tracking. Then a new matching function based on a center-surrounding cue is applied to amend the particle distribution and improve the tracking robustness in each iteration. We demonstrate the effectiveness and robustness of our approach through experiments and comparisons using some challenging video sequences of koi swimming.

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