Target Tracking Based on a New Adaptive Genetic Algorithm

Author

Qingjun, Xia ; An, Zhang

Author_Institution

Sch. of Electron. & Inf., Northwestern Polytech. Univ., Xi´´an, China

Volume

1

fYear

2009

fDate

12-14 Dec. 2009

Firstpage

40

Lastpage

43

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.

Keywords

genetic algorithms; missile guidance; target tracking; TV guidance missile; adaptive genetic algorithm; cross mutation operator; crossover mutation probability; enhance matching speed; image tracking system; new encoded mode; reduce computational load; target tracking based; template matching; Algorithm design and analysis; Computational intelligence; Genetic algorithms; Genetic mutations; Image matching; Missiles; Optical control; Optical noise; TV; Target tracking; Cauchy-Schwarz inequality formula; NAGA; TV guidance missile; template matching mode;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on

Conference_Location

Changsha

Print_ISBN

978-0-7695-3865-5

Type

conf

DOI

10.1109/ISCID.2009.17

Filename

5370930