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作者:

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

收录:

CPCI-S

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.

关键词:

Bayesian estimation kalman filter particle filter target tracking

作者机构:

  • [ 1 ] [Lei Fei]Beijing Univ Technol, Elect Informat & Control Engn Coll, Beijing, Peoples R China
  • [ 2 ] [Zhang Xinying]Beijing Univ Technol, Elect Informat & Control Engn Coll, Beijing, Peoples R China

通讯作者信息:

  • [Lei Fei]Beijing Univ Technol, Elect Informat & Control Engn Coll, Beijing, Peoples R China

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来源 :

PROCEEDINGS OF 2012 7TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE & EDUCATION, VOLS I-VI

ISSN: 2471-6146

年份: 2012

页码: 36-40

语种: 英文

被引次数:

WoS核心集被引频次: 3

SCOPUS被引频次:

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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