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Long-Term Tracking in the Wild: A Benchmark
[chapter]
2018
Lecture Notes in Computer Science
We introduce the OxUvA dataset and benchmark for evaluating single-object tracking algorithms. Benchmarks have enabled great strides in the field of object tracking by defining standardized evaluations on large sets of diverse videos. However, these works have focused exclusively on sequences that are just tens of seconds in length and in which the target is always visible. Consequently, most researchers have designed methods tailored to this "short-term" scenario, which is poorly
doi:10.1007/978-3-030-01219-9_41
fatcat:uxgm26didvh5vbx6jue37ee5ue