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An improved Mean Shift tracker with fast failure recovery strategy after complete occlusion

机译:一种改进的Mean Shift跟踪器,具有完全闭塞后的快速故障恢复策略

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The effectiveness of the conventional Mean Shift tracking algorithm diminishes for fast moving targets and complete occlusion. In this paper an improved Mean Shift algorithm comprising a fast failure recovery strategy that aims to deal with randomly moving targets and complete occlusion as encountered in crowded scenes is presented. Experimental results show that after complete occlusion or target loss, the new algorithm can effectively recover and continue to successfully track targets in complex scenarios.
机译:对于快速移动的目标和完全遮挡,常规均值漂移跟踪算法的有效性会降低。在本文中,提出了一种改进的Mean Shift算法,该算法包括一种快速故障恢复策略,旨在处理在拥挤的场景中遇到的随机移动目标和完全遮挡。实验结果表明,在完全遮挡或目标丢失之后,新算法可以有效地恢复并继续成功跟踪复杂场景中的目标。

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