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Author:

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

Indexed by:

CPCI-S

Abstract:

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.

Keyword:

target tracking Bayesian estimation particle filter kalman filter

Author Community:

  • [ 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

Reprint Author's Address:

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

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Related Keywords:

Source :

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

ISSN: 2471-6146

Year: 2012

Page: 36-40

Language: English

Cited Count:

WoS CC Cited Count: 4

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 10

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