A novel target tracking method based on scale-invariant feature transform in imagery

Huang Qinglong, Yun Zhang, Ling Hongbo, Wangbin, Feng Tianjiao
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Abstract

In this paper, a novel effective method based on Scale-invariant feature transform in Imagery to realize Target tracking, where the discriminating process is improved through Image Matching Processing. It is the first time that the problem of tracking in Imaging processing, contrasted with traditional methods in data processing. It can track target for clutter. Simulation results show that the proposed method has advantages in the efficiency and accuracy under the circumstances with heavy clutter and large measurement error.
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一种基于图像尺度不变特征变换的目标跟踪新方法
本文提出了一种基于图像尺度不变特征变换实现目标跟踪的有效方法,并通过图像匹配处理改进了目标跟踪的判别过程。首次将图像处理中的跟踪问题与传统的数据处理方法进行了对比。它可以跟踪目标的杂波。仿真结果表明,在杂波重、测量误差大的情况下,该方法在效率和精度方面具有优势。
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