An Experimental Survey on Correlation Filter-based Tracking
An Experimental Survey on Correlation Filter-based Tracking
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发表时间：
2015-09
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通讯作者：
Zhe Chen;Zhibin Hong;D. Tao
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作者：
Zhe Chen;Zhibin Hong;D. Tao
近年来，基于相关滤波的跟踪器（CFTs）在视觉目标跟踪领域引起了越来越多的关注，并在不同的竞赛和基准测试中取得了令人瞩目的成绩。在本文中，我们的目标是回顾CFTs的发展与广泛的实验结果。在我们的工作中调查了11个跟踪器，并在此基础上总结了一个总体框架。此外，我们还研究了相关滤波器的不同训练方案，并讨论了最近取得的各种有效改进。进行了全面的实验来评估所调查的CFTs的有效性和效率，并与其他竞争的跟踪器进行了比较。实验结果表明，在鲁棒性、速度和准确性方面，几种最新的CFTs（如：MUSTer和SAMF）可以达到最先进的性能。我们发现基于相关滤波器的跟踪可以在尺度估计、基于部件的跟踪策略和与长期跟踪方法的配合等方面得到进一步改进。
Over these years, Correlation Filter-based Trackers (CFTs) have aroused increasing interests in the field of visual object tracking, and have achieved extremely compelling results in different competitions and benchmarks. In this paper, our goal is to review the developments of CFTs with extensive experimental results. 11 trackers are surveyed in our work, based on which a general framework is summarized. Furthermore, we investigate different training schemes for correlation filters, and also discuss various effective improvements that have been made recently. Comprehensive experiments have been conducted to evaluate the effectiveness and efficiency of the surveyed CFTs, and comparisons have been made with other competing trackers. The experimental results have shown that state-of-art performance, in terms of robustness, speed and accuracy, can be achieved by several recent CFTs, such as MUSTer and SAMF. We find that further improvements for correlation filter-based tracking can be made on estimating scales, applying part-based tracking strategy and cooperating with long-term tracking methods.