OTB2013, OTB2015
http://cvlab.hanyang.ac.kr/tracker_benchmark/benchmark_v10.html
http://cvlab.hanyang.ac.kr/tracker_benchmark/index.html
OTB2013 [1] contains 50 sequences that are divided into 11 different challenges, including Motion Blur (MB), Occlusion (Occ), Deformation (DEF), In-Plane Rotation (IPR), Fast Motion (FM), Low Resolution (LR), Scale Variation (SV), Background Clutter (BC), Out-of-View (OV), Illumination Variation (IV), and Out-of-Plane Rotation (OPR). OTB2015 [2] is an improved version of OTB2013, consisting of 100 sequences and covering the same 11 challenges.
TC-128
TC-128 [3] is another benchmark composed of 128 sequences distributed over the same 11 challenges.
VOT2017
https://www.votchallenge.net/vot2017/
Visual Object Tracking (VOT2017) [4] covers only five challenges, including size change, occlusion, motion change, illumination change, and camera motion. Note that these challenges are more elaborately covered by the OTTC benchmark, though using slightly different challenge names. Nevertheless, VOT is an important benchmark due to inclusion of very small target tracking and IR sequences.
References
[1] Yi Wu, Jongwoo Lim, and M. H. Yang. 2013. Online object tracking: A benchmark. In Proceedings of the CVPR. IEEE, 2411–2418.
[2] Yi Wu, Jongwoo Lim, and M. H. Yang. 2015. Object tracking benchmark. IEEE TPAMI (2015), 1834–1848.
[3] Pengpeng Liang, Erik Blasch, and Haibin Ling. 2015. Encoding color information for visual tracking: Algorithms and benchmark. IEEE TIP 24, 12 (2015), 5630–5644.
[4] Matej Kristan, Roman Pflugfelder, Ale Leonardis, Jiri Matas, Fatih Porikli, Luka Cehovin, Georg Nebehay, Gustavo Fernandez, Toma Vojir, Adam Gatt, et al. 2017. The visual object tracking VOT2017 challenge results. In Proceedings of the IEEE International Conference on Computer Vision Workshops (ICCVW’17). 1949–1972. DOI:10.1109/ICCVW. 2017.230