The thermal infrared visual object tracking VOT-TIR2016 challenge results

The thermal infrared visual object tracking VOT-TIR2016 challenge results

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 TI...

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Bibliographic Details
Main Authors: Felsberg, M, Kristan, M, Matas, J, Leonardis, A, Pflugfelder, R, Häger, G, Berg, A, Eldesokey, A, Ahlberg, J, Čehovin, L, Vojír̃, T, Lukežič, A, Fernández, G, Petrosino, A, Garcia-Martin, A, Montero, AS, Varfolomieiev, A, Erdem, A, Han, B, Chang, C-M, Du, D, Erdem, E, Khan, FS, Porikli, F, Zhao, F, Bunyak, F, Battistone, F, Zhu, G, Seetharaman, G, Li, H, Qi, H, Bischof, H, Possegger, H, Nam, H, Valmadre, J, Zhu, J, Feng, J, Lang, J, Martinez, JM, Palaniappan, K, Lebeda, K, Gao, K, Mikolajczyk, K, Wen, L, Bertinetto, L, Poostchi, M, Maresca, M, Danelljan, M, Arens, M, Tang, M, Torr, PHS
Other Authors: Hua, G
Format: Conference item
Language:English
Published: Springer 2016

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