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An Effective Target Tracking Method

机译:有效的目标跟踪方法

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摘要

Target tracking system bas important application in military and civilian. In it, speed and accuracy are two important evaluations indicators. Harris algorithm is used to extract little part of target corner features which can improve this method's speed. Then, the proposed method uses optic flow method which has high matching accuracy to match those extracted corner features in the following video frames. However, when the tracked target is rotated or transformation, the distributing of matched feature point is changed and target is easily lost. In order to overcome this shortcoming, bary algorithm is used to compute the bary of those matched features as displacement of target. It is proved by experiments that this method has not only high speed and tracking accuracy but also higher robustness to target rotation, transformation, shelter etc.
机译:目标跟踪系统是军事和民用领域的重要应用。其中,速度和准确性是两个重要的评估指标。哈里斯(Harris)算法用于提取目标拐角特征的一小部分,从而可以提高该方法的速度。然后,所提出的方法使用具有高匹配精度的光流方法来匹配随后的视频帧中提取的角特征。但是,当跟踪的目标旋转或变换时,匹配特征点的分布会发生变化,目标很容易丢失。为了克服该缺点,使用重心算法来计算那些匹配特征的重心作为目标的位移。实验证明,该方法不仅具有较高的速度和跟踪精度,而且对目标旋转,变换,遮挡等具有更高的鲁棒性。

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