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A Study on the Algorithms of Ground Target Tracking

Author: ShiLiNa
Tutor: ZhuHong
School: Xi'an University of Electronic Science and Technology
Course: Measuring Technology and Instruments
Keywords: Correlation tracking Image preprocessing Genetic Algorithms Affine transformation Template refresh
CLC: TP391.41
Type: Master's thesis
Year: 2006
Downloads: 9
Quote: 0
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Abstract


Target tracking system , especially in the complex context of ground target tracking , tracking is a common method . This paper analyzes the impact of noise on the MAD matching operator , research and treatment methods . In order to solve the tracking of real-time issues , global optimization ability of genetic algorithms to search for matching . Spatial correlation characteristics , combined with real-time image sequences encoding , initialization , cross , variation , choice to optimize the design , which made the search method suitable for imaging tracking system . Simulation results show that this method to meet the needs of real-time processing , and is an excellent global optimal algorithm . Tracking robustness contains many aspects : how to determine the initial template , how to make a template to adapt to the geometric distortion of the target , how to refresh template . Ground targets within a certain size rapidly enlarge the issue , carried out a systematic study of these aspects . Richness of change of gradient according to the target space is proposed a method to determine the initial template ; using affine transformation as a target deformation motion model and the method of calculating affine transformation are given : In order to overcome the affine transformation parameters are estimated not accuracy , using the interval to refresh the the policy refresh template ; the traditional interval refresh strategy defects based on the proposed improved interval refresh strategy , the template size can be adaptively enlarged so as to effectively track the target .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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