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Fig 1.

A taxonomy of object tracking methods.

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Fig 2.

The concept of image correlation.

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Fig 3.

Correlation pattern recognition.

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Table 1.

The proposed video sequences.

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Fig 4.

The proposed amoeba video sequences, clear image to the left and annoated image to the right.

a) AMB1 b) AMB2.

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Fig 5.

Qualitative assessment of the tested trackers on the a) Tiger1, b) Tiger1_VFM_1, c) Tiger1_VFM_2, d) Surfer, and e) Surfer_VFM sequences [8].

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Fig 6.

Qualitative assessment of the tested trackers on the a) Ironman, b) Football1, c) Football1_Modf and d) DragonBaby video sequences [8].

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Fig 7.

Qualitative assessment of the tested trackers on the a) Box [8], b) AMB1 and c) AMB2 sequences.

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Table 2.

The average fps for the eight trackers.

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Table 2 Expand

Fig 8.

Success and precision plots of error and overlap for OPE, SRE, and TRE.

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Fig 9.

Attribute-based success plots of SRE (illumination variation, out-of-plane rotation, scale variation, occlusion, deformation, and motion blur).

(a) Illumination variation. (b) Out-of-plane rotation. (c) Scale variation. (d) Occlusion. (e) Deformation. (f) Motion blur. (g) Fast motion. (h) In-plane rotation. (i) Out of view. (j) Background clutter. (j) Background clutter.

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Table 3.

The percentage of frames the trackers managed to capture the object from the entire sequence.

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Table 4.

The frame ranges of CF-based trackers when failing to capture objects.

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