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An optimized target tracking algorithm of online boosting

机译:在线助推的优化目标跟踪算法

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On the basis of online boosting algorithm, this paper presents an optimized target tracking algorithm. Now, the commonly-used tracking algorithm usually tracks the targets as a whole, thus facing great difficulty in realizing effective tracking while the target is severely shielded. In order to surmount the difficulties resulting from shielding, this paper puts forward block-based target tracking algorithm that splits the target into several parts and then locates the target through summing up the tracking results of every part. To meet the changes of target appearance in tracking process, this paper brings forth block-based target tracking algorithm of online boosting in combination with block-based thinking and online boosting framework. The experimental results illustrate that this algorithm has upgraded tracking robustness and accuracy.
机译:在在线加速算法的基础上,提出了一种优化的目标跟踪算法。现在,常用的跟踪算法通常是对整个目标进行跟踪,因此在对目标进行严密屏蔽的同时,要实现有效的跟踪将面临很大的困难。为了克服屏蔽带来的困难,提出了一种基于块的目标跟踪算法,将目标分为几部分,然后通过汇总各部分的跟踪结果来定位目标。为适应跟踪过程中目标外观的变化,结合基于块的思想和在线助推框架,提出了基于块的在线助推目标跟踪算法。实验结果表明,该算法提高了跟踪的鲁棒性和准确性。

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