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On-line Object Tracking Method Based On Co-Training

机译:基于协同训练的在线目标跟踪方法

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The tracking method based on Co-Training framework considers the object tracking as a semi-supervised learning problem. This paper proposes a new on-line tracking method based on Co-Training framework. The method fuses two features to describe the object and do randomizing affine deformation with positive examples to increase the number of positive examples. Experimental results demonstrate, the on-line tracking method based on Co-training framework can work robustly in long-term tracking and the drift of tracking can be effectively avoided.
机译:基于协同训练框架的跟踪方法将对象跟踪视为一种半监督学习问题。提出了一种基于协同训练框架的在线跟踪新方法。该方法融合了两个特征来描述对象,并​​使用正例对仿射变形进行随机化以增加正例的数量。实验结果表明,基于协同训练框架的在线跟踪方法可以在长期跟踪中稳定运行,可以有效避免跟踪的漂移。

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