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作者:

Lei, Fei (Lei, Fei.) | Zhang, Xinying (Zhang, Xinying.)

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EI Scopus

摘要:

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. © 2012 IEEE.

关键词:

Bayesian networks Clutter (information theory) Education computing Kalman filters Lakes Monte Carlo methods Swimming pools Target tracking

作者机构:

  • [ 1 ] [Lei, Fei]Electronic Information and Control Engineering College, Beijing University of Technology, Beijing, China
  • [ 2 ] [Zhang, Xinying]Electronic Information and Control Engineering College, Beijing University of Technology, Beijing, China

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来源 :

年份: 2012

页码: 36-40

语种: 英文

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 4

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

近30日浏览量: 2

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