(整理)目标跟踪算法研究.doc.
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目 录
摘 要 1
ABSTRACT 2
第一章 绪 论 4
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第二章 运动目标检测 8
are widely used. Thus, it is necessary to study the tracking of moving targets.
In this paper, the image of the single-target tracking problem, research the target detection method is mainly based on inter-frame difference and background removal method to detect the target in preparation for target tracking. Template matching tracking algorithm is: the smallest mean square error function (MES), the smallest mean absolute difference function (MAD) and the maximum matching pixel statistics (MPC) of the tracking algorithm. In the tracking process, due to the relative camera movement with the goal, the goal of vision may occur in size, shape, gesture, such as changes in the external environment combined with the various kinds of interference, as well as over time, to track where the goals and objectives scene changes have taken place, it is possible to track the target is lost. In order to ensure the stability and tracking accuracy, the need for adaptive template image update. Since the goal of movement must be the law of the forecast track could take to improve the tracking precision, this article uses the square of the linear prediction method and prediction method.
Analysis of the relevant matching algorithm to track the tracking accuracy and speed; contrast do not use templates and template updates with the new tracking the progress and differences in the experiment proved that the tracking algorithm with trajectory prediction and templates to a large extent with the new frame to improve tracking,Improved tracking accuracy, which has strong anti-noise performance.
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Key words: Target tracking , Target Detection , Trajectory Prediction,
Template Update
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绪 论
本章首先讨论了目标跟踪的研究背景和意义;介绍了目标跟踪在国内外的研究现状;接着讨论了目标跟踪研究中面临的困难和待解决的问题;最后介绍了本文的主要工作和总体构
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