Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: An Experimental Survey on Correlation Filter-based Tracking   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.

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The categories of this paper are: cond-mat
35
The categories of this paper are: mtrl-th
25
The categories of this paper are: patt-sol
27
The categories of this paper are: comp-gas
21
The categories of this paper are: adap-org
2
The categories of this paper are: math
34
The categories of this paper are: chem-ph
26
The categories of this paper are: bayes-an
36
The categories of this paper are: cmp-lg
37
The categories of this paper are: supr-con
3
The categories of this paper are: physics
22
The categories of this paper are: chao-dyn
11
The categories of this paper are: hep-lat
31
The categories of this paper are: ao-sci
28
The categories of this paper are: alg-geom
9
The categories of this paper are: nlin