A Correlation-Based Adaptive Threshold Region Matching and Moving Parameter Estimate Method

机译：基于相关的自适应阈值区域匹配和运动参数估计方法

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摘要

A correlation-based adaptive threshold method in tracking moving objects by region matching is presented here. Optimum dynamic threshold can be determined adaptively according to the different light intensities and the noises in the image sequences. Besides, this paper also provides a region-layered fast search algorithm based on correlated graphic analysis, which enhances the matching speed significantly. Experiment results showed that higher matching accuracy and faster matching speed were obtained.

机译：提出了一种基于相关性的自适应阈值方法，通过区域匹配来跟踪运动目标。可以根据不同的光强度和图像序列中的噪声自适应地确定最佳动态阈值。此外，本文还提供了一种基于相关图形分析的区域分层快速搜索算法，大大提高了匹配速度。实验结果表明，该算法具有较高的匹配精度和较快的匹配速度。

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《International Symposium on Test and Measurement;ISTM/2005》|2005年|P.1-4|共4页
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作者
Jiang Zetao; Zhao Rongchun; ZhuYing;
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正文语种
中图分类实验测量及自动化技术;
关键词
adaptive threshold; region matching; layered fast search; parameter estimate;

机译：自适应阈值;区域匹配;分层快速搜索;参数估计;

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4. A Correlation-Based Adaptive Threshold Region Matching and Moving Parameter Estimate Method [C] . . 2005

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A Correlation-Based Adaptive Threshold Region Matching and Moving Parameter Estimate Method

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