Target tracking based on a new adaptive genetic algorithm

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1 Scopus citations

Abstract

The importance of image tracking system to TV guidance missile and the modes of target tracking were introduced firstly. Aiming at disadvantage of primal algorithm of template matching, genetic algorithm (GA) is applied to template matching. The GA adopts new encoded mode and defines new cross and mutation operator. In addition, the paper analyses the influence of crossover and mutation probability to GA. In order to get appropriate crossover probability and mutation probability, a new adaptive genetic algorithm (NAGA) is adopted. Simulation results prove that target tracking based on the NAGA can reduce computational load and enhance matching speed.

Original languageEnglish
Title of host publicationISCID 2009 - 2009 International Symposium on Computational Intelligence and Design
Pages40-43
Number of pages4
DOIs
StatePublished - 2009
Event2009 International Symposium on Computational Intelligence and Design, ISCID 2009 - Changsha, Hunan, China
Duration: 12 Dec 200914 Dec 2009

Publication series

NameISCID 2009 - 2009 International Symposium on Computational Intelligence and Design
Volume1

Conference

Conference2009 International Symposium on Computational Intelligence and Design, ISCID 2009
Country/TerritoryChina
CityChangsha, Hunan
Period12/12/0914/12/09

Keywords

  • Cauchy-schwarz inequality formula
  • NAGA
  • Template matching mode
  • TV guidance missile

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