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Application Of Chaos Genetic Algorithm In Moving Target Tracking System

Posted on:2007-10-10Degree:MasterType:Thesis
Country:ChinaCandidate:T F LiFull Text:PDF
GTID:2178360185475516Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
The moving target examination and tracking is core of computer vision system research,and it is a hot field of scientists and engineering technicians researching. Many notable achievements have been made in this field and many primary applications are carried out. In the realistic life, large quantity of the meaningful sense of vision information includes in the moving. In the many situations, such as the monitoring of transportation, security of the public sites, control and guide system by the military aircraft, automatic driver of car and assistant driver of car, etc., the examination and tracking is needed to moving object.The process of the moving target tracking includes many stages such as image sequence acquisition, image preprocessing, background image ascertain, moving target extraction, correlation matching search of moving target and so on. Thus, the moving target tracking is a lot subject combining with knowledge of the digital signal processing, the image processing, pattern recognition, artificial intelligence and etc.At first, the automatic detection method of moving target is studied, and the background image ascertaining method based on the character matching is proposed. Target detection and extraction is realized by the background difference method in this paper.After the moving target template is extracted, the correlation match method is used to carry on the target acquisition in this paper. For the exhaustion algorithm calculating quantity being excessive in the correlation match algorithm, the method of correlation match search using the genetic algorithms is proposed. Chaos optimization search operation is introduced to simple genetic algorithm operation for mending the defect that simple genetic algorithm is premature easily. The simulation experiment is conducted using MATLAB software.Experiment results illustrate that moving target search efficiency is improved greatly using chaos genetic algorithm to carry on correlation match search.Finally, the ICETEK-C6711-IDK-M image processing experiment system is introduced, including hardware configuration and function,software develop flat. Software module is introduced. The moving target examination and tracking algorithms in this paper are realized in this system.
Keywords/Search Tags:Moving target tracking, Template matching, Chaos theory, Genetic Algorithms, DSP
PDF Full Text Request
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