The Thermal Infrared Visual Object Tracking Vot-Tir2016 Challenge Results
Date
2016Author
Felsberg, Michael
Kristan, Matej
Matas, Jiri
Leonardis, Ales
Pflugfelder, Roman
Hager, Gustav
Berg, Amanda
Eldesokey, Abdelrahman
Ahlberg, Jorgen
Cehovin, Luka
Vojir, Tomas
Lukezic, Alan
Fernandez, Gustavo
Petrosino, Alfredo
Garcia-Martin, Alvaro
Montero, Andres Solis
Varfolomieiev, Anton
Erdem, Aykut
Han, Bohyung
Chang, Chang-Ming
Du, Dawei
Erdem, Erkut
Khan, Fahad Shahbaz
Porikli, Fatih
Zhao, Fei
Bunyak, Filiz
Battistone, Francesco
Zhu, Gao
Seetharaman, Guna
Li, Hongdong
Qi, Honggang
Bischof, Horst
Possegger, Horst
Nam, Hyeonseob
Valmadre, Jack
Zhu, Jianke
Feng, Jiayi
Lang, Jochen
Martinez, Jose M.
Palaniappan, Kannappan
Lebeda, Karel
Gao, Ke
Mikolajczyk, Krystian
Wen, Longyin
Bertinetto, Luca
Poostchi, Mahdieh
Maresca, Mario
Danelljan, Martin
Arens, Michael
Tang, Ming
Baek, Mooyeol
Fan, Nana
Al-Shakarji, Noor
Miksik, Ondrej
Akin, Osman
Torr, Philip H. S.
Huang, Qingming
Martin-Nieto, Rafael
Pelapur, Rengarajan
Bowden, Richard
Laganiere, Robert
Krah, Sebastian B.
Li, Shengkun
Yao, Shizeng
Hadfield, Simon
Lyu, Siwei
Becker, Stefan
Golodetz, Stuart
Hu, Tao
Mauthner, Thomas
Santopietro, Vincenzo
Li, Wenbo
Huebner, Wolfgang
Li, Xin
Li, Yang
Xu, Zhan
He, Zhenyu
xmlui.mirage2.itemSummaryView.MetaData
Show full item recordAbstract
The Thermal Infrared Visual Object Tracking challenge 2016, VOT-TIR2016, aims at comparing short-term single-object visual trackers that work on thermal infrared (TIR) sequences and do not apply pre-learned models of object appearance. VOT-TIR2016 is the second benchmark on short-term tracking in TIR sequences. Results of 24 trackers are presented. For each participating tracker, a short description is provided in the appendix. The VOT-TIR2016 challenge is similar to the 2015 challenge, the main difference is the introduction of new, more difficult sequences into the dataset. Furthermore, VOT-TIR2016 evaluation adopted the improvements regarding overlap calculation in VOT2016. Compared to VOT-TIR2015, a significant general improvement of results has been observed, which partly compensate for the more difficult sequences. The dataset, the evaluation kit, as well as the results are publicly available at the challenge website.