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Underwater target tracking based on particle filter

机译:基于粒子滤波的水下目标跟踪

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Swimming pool is a dynamic scene with great changes. It is affected by bubbles, light intensity, wave and other factors. In this paper, a new algorithm of underwater moving target tracking is proposed. At first, building the moving target model in underwater video based on RGB histogram. Then particle filter algorithm is adopted to track moving target in view of the complex features of the swimming pool environment. Besides, updating the template adaptively in tracking in order to adapt to target's deformation and external disturbances. Simulation results show that the algorithm proposed in this paper achieves real-time and stable target tracking in the complex surroundings of swimming pool.
机译:游泳池是一个充满变化的动态场景。它受气泡,光强度,波浪和其他因素的影响。提出了一种水下运动目标跟踪的新算法。首先,基于RGB直方图在水下视频中建立运动目标模型。然后针对游泳池环境的复杂特征,采用粒子滤波算法对运动目标进行跟踪。此外,在跟踪中自适应地更新模板,以适应目标的变形和外部干扰。仿真结果表明,本文提出的算法能够在复杂的游泳池环境中实现实时,稳定的目标跟踪。

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