Given a short query with keyphrases about a research idea in 2018 in the domain of artificial intelligence, recommend the relevant datasets to validate the research idea from options provided. A short description of the datasets is also provided to help you.

Query: I want to evaluate the tracking performance of existing trackers in challenging long-term scenarios.

Keyphrases: long-term tracking video

Dataset description:
PTB-TIR: PTB-TIR is a Thermal InfraRed (TIR) pedestrian tracking benchmark, which provides 60  TIR sequences with mannuly annoations. The benchmark is used to fair evaluate TIR trackers.
OxUva: OxUva is a dataset and benchmark for evaluating single-object tracking algorithms.
OTB: Object Tracking Benchmark (OTB) is a visual tracking benchmark that is widely used to evaluate the performance of a visual tracking algorithm. The dataset contains a total of 100 sequences and each is annotated frame-by-frame with bounding boxes and 11 challenge attributes.
VOT2018: VOT2018 is a dataset for visual object tracking. It consists of 60 challenging videos collected from real-life datasets.

Options:- A: PTB-TIR  B: OxUva  C: OTB  D: VOT2018
OTB