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Study of Two-Dimensional Motion Estimation Technique in Vehicle Tracking

机译:车辆跟踪中的二维运动估计技术研究

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摘要

It is very important to achieve reliable vehicle tracking in ITS application such as accident detection. In order to achieve reliable vehicle tracking we designed the dedicated algorithm to traffic images. But the most difficult problem associated with the dedicated algorithm is vector displacement estimation. So we present three criteria to evaluate different displacement vector estimation algorithms. As a result, we can evaluate the convergence time and the capability of different algorithms to resist noise and detect velocity, which is critical for practical application. After groups of experiments had in practical environment, the algorithm were able to track vehicle ate a high success rate of 90%-95%. The algorithm does not assume only physical models of vehicles.
机译:在ITS应用(例如事故检测)中实现可靠的车辆跟踪非常重要。为了实现可靠的车辆跟踪,我们设计了专用于交通图像的算法。但是,与专用算法相关的最困难的问题是矢量位移估计。因此,我们提出了三个标准来评估不同的位移矢量估计算法。结果,我们可以评估收敛时间以及不同算法的抗噪声能力和检测速度的能力,这对于实际应用至关重要。经过在实际环境中的实验组,该算法能够跟踪车辆,成功率高达90%-95%。该算法不仅假设车辆的物理模型。

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