VOT2014 (Visual Object Tracking Challenge 2014)

Introduced by Kristan et al. in A Novel Performance Evaluation Methodology for Single-Target Trackers

The dataset comprises 25 short sequences showing various objects in challenging backgrounds. Eight sequences are from the VOT2013 challenge (bolt, bicycle, david, diving, gymnastics, hand, sunshade, woman). The new sequences show complementary objects and backgrounds, for example a fish underwater or a surfer riding a big wave. The sequences were chosen from a large pool of sequences using a methodology based on clustering visual features of object and background so that those 25 sequences sample evenly well the existing pool.

Source: VOT2014


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