一种改进的基于自适应模板修改的相关跟踪算法

International Conference on Information Acquisition, 2004. Proceedings. Pub Date : 2004-06-21 DOI:10.1109/ICIA.2004.1373377

Luo Shi-tu, Zhang Qi, Luo Feilu, W. Yanling

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引用次数: 5

摘要

提出了一种基于目标特征的两阶段匹配算法，将粗搜索和精确定位相结合，避免了相关跟踪中大量的计算。根据电视跟踪系统的图像特点，提出了一种自适应模板修改策略，在一定程度上克服了实际图像失真、噪声、遮挡等对跟踪结果的影响。同时，仿真结果显示了良好的效果。

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An improved correlation tracking algorithm based on adaptive template modification

We introduce a two-stage matching algorithm based on target feature, in which coarse searching and accurate location are combined to avoid so much calculation as in correlation tracking. According to the image feature of TV tracking system, we present an adaptive template modification strategy, which in some degree overcomes the influences on tracking result by distortion, noise and shelter and so on of the actual image. Meanwhile, simulation results show good effect.

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International Conference on Information Acquisition, 2004. Proceedings.

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