Dataset Groups Activity Stream VOT-ST 2021 VOT-ST 2021 is a visual object tracking benchmark, consisting of 20 long videos. BibTex: @dataset{Matej_Kristan_and_Jiri_Matas_and_Ales_Leonardis_and_Michael_Felsberg_and_Roman_Pflugfelder_and_Joni-Kristian_Kamarainen_and_Hyung_Jin_Chang_and_Martin_Danelljan_and_Luka_Cehovin_and_Alan_Lukezic_2024, abstract = {VOT-ST 2021 is a visual object tracking benchmark, consisting of 20 long videos.}, author = {Matej Kristan and Jiri Matas and Ales Leonardis and Michael Felsberg and Roman Pflugfelder and Joni-Kristian Kamarainen and Hyung Jin Chang and Martin Danelljan and Luka Cehovin and Alan Lukezic}, doi = {10.57702/qs2spvuy}, institution = {No Organization}, keyword = {'dense annotation', 'object tracking', 'visual object tracking'}, month = {dec}, publisher = {TIB}, title = {VOT-ST 2021}, url = {https://service.tib.eu/ldmservice/dataset/vot-st-2021}, year = {2024} }
