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Enhanced Adaptive Bandwidth Tracking Using Mean Shift Algorithm

机译:使用均值漂移算法的增强型自适应带宽跟踪

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The traditional color-based mean shift tracking algorithm is a popular method in colored object tracking due to its simple and efficient procedure,however,its constant tracking bandwidth makes it unsuitable for objects that have variable size during tracking.In this paper,we propose Enhanced Mean Shift Tracker (EMST) which has adaptive bandwidth.Our proposed method solves the problems of the original algorithms related to accuracy and rigid bandwidth.The experimental results show that the new method is feasible,robust and has a good speed in comparison with other algorithms.
机译:传统的基于颜色的均值漂移跟踪算法由于其简单高效的方法而成为有色对象跟踪中的一种流行方法,但是其恒定的跟踪带宽使其不适用于在跟踪过程中具有可变大小的对象。具有自适应带宽的Mean Shift Tracker(EMST)。我们提出的方法解决了原有算法在精度和刚性带宽方面的问题。实验结果表明,与其他算法相比,该方法是可行,鲁棒的,并且具有良好的速度。 。

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