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The Visual Object Tracking VOT2015 challenge results

Kristan, M, Matas, J, Leonardis, A, Felsberg, M, Cehovin, L, Fernandez, GF, Vojır, T, Hager, G, Nebehay, G, Pflugfelder, R , Gupta, A, Bibi, A, Lukezic, A, Garcia-Martin, A, Petrosino, A, Saffari, A, Montero, AS, Varfolomieiev, A, Baskurt, A, Zhao, B, Ghanem, B, Martinez, B, Lee, B, Han, B, Wang, C, Garcia, C, Zhang, C, Schmid, C, Tao, D, Kim, D, Huang, D, Prokhorov, D, Du, D, Yeung, D-Y, Ribeiro, E, Khan, FS, Porikli, F, Bunyak, F, Zhu, G, Seetharaman, G, Kieritz, H, Yau, HT, Li, H, Qi, H, Bischof, H, Possegger, H, Lee, H, Nam, H, Bogun, I, Jeong, J-C, Cho, J-I, Lee, J-Y, Zhu, J, Shi, J, Li, J, Jia, J, Feng, J, Gao, J, Choi, JY, Kim, J, Lang, J, Martinez, JM, Choi, J, Xing, J, Xue, K, Palaniappan, K, Lebeda, K, Alahari, K, Gao, K, Yun, K, Wong, KH, Luo, L, Ma, L, Ke, L, Wen, L, Bertinetto, L, Pootschi, M, Maresca, M, Danelljan, M, Wen, M, Zhang, M, Arens, M, Valstar, M, Tang, M, Chang, M-C, Khan, MH, Fan, N, Wang, N, Miksik, O, Torr, P, Wang, Q, Martin-Nieto, R, Pelapur, R, Bowden, Richard, Laganière, R, Moujtahid, S, Hare, S, Hadfield, Simon, Lyu, S, Li, S, Zhu, S-C, Becker, S, Duffner, S, Hicks, SL, Golodetz, S, Choi, S, Wu, T, Mauthner, T, Pridmore, T, Hu, W, Hübner, W, Wang, X, Li, X, Shi, X, Zhao, X, Mei, X, Shizeng, Y, Hua, Y, Li, Y, Lu, Y, Li, Y, Chen, Z, Huang, Z, Chen, Z, Zhang, Z, He, Z and Hong, Z (2015) The Visual Object Tracking VOT2015 challenge results In: 2015 IEEE International Conference on Computer Vision Workshop (ICCVW), 07-13 Dec 2015, Santiago, Chile.

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Abstract

The Visual Object Tracking challenge 2015, VOT2015, aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance. Results of 62 trackers are presented. The number of tested trackers makes VOT 2015 the largest benchmark on short-term tracking to date. For each participating tracker, a short description is provided in the appendix. Features of the VOT2015 challenge that go beyond its VOT2014 predecessor are: (i) a new VOT2015 dataset twice as large as in VOT2014 with full annotation of targets by rotated bounding boxes and per-frame attribute, (ii) extensions of the VOT2014 evaluation methodology by introduction of a new performance measure. The dataset, the evaluation kit as well as the results are publicly available at the challenge website.

Item Type: Conference or Workshop Item (Conference Abstract)
Authors :
NameEmailORCID
Kristan, M
Matas, J
Leonardis, A
Felsberg, M
Cehovin, L
Fernandez, GF
Vojır, T
Hager, G
Nebehay, G
Pflugfelder, R
Gupta, A
Bibi, A
Lukezic, A
Garcia-Martin, A
Petrosino, A
Saffari, A
Montero, AS
Varfolomieiev, A
Baskurt, A
Zhao, B
Ghanem, B
Martinez, B
Lee, B
Han, B
Wang, C
Garcia, C
Zhang, C
Schmid, C
Tao, D
Kim, D
Huang, D
Prokhorov, D
Du, D
Yeung, D-Y
Ribeiro, E
Khan, FS
Porikli, F
Bunyak, F
Zhu, G
Seetharaman, G
Kieritz, H
Yau, HT
Li, H
Qi, H
Bischof, H
Possegger, H
Lee, H
Nam, H
Bogun, I
Jeong, J-C
Cho, J-I
Lee, J-Y
Zhu, J
Shi, J
Li, J
Jia, J
Feng, J
Gao, J
Choi, JY
Kim, J
Lang, J
Martinez, JM
Choi, J
Xing, J
Xue, K
Palaniappan, K
Lebeda, K
Alahari, K
Gao, K
Yun, K
Wong, KH
Luo, L
Ma, L
Ke, L
Wen, L
Bertinetto, L
Pootschi, M
Maresca, M
Danelljan, M
Wen, M
Zhang, M
Arens, M
Valstar, M
Tang, M
Chang, M-C
Khan, MH
Fan, N
Wang, N
Miksik, O
Torr, P
Wang, Q
Martin-Nieto, R
Pelapur, R
Bowden, RichardR.Bowden@surrey.ac.uk
Laganière, R
Moujtahid, S
Hare, S
Hadfield, Simons.hadfield@surrey.ac.uk
Lyu, S
Li, S
Zhu, S-C
Becker, S
Duffner, S
Hicks, SL
Golodetz, S
Choi, S
Wu, T
Mauthner, T
Pridmore, T
Hu, W
Hübner, W
Wang, X
Li, X
Shi, X
Zhao, X
Mei, X
Shizeng, Y
Hua, Y
Li, Y
Lu, Y
Li, Y
Chen, Z
Huang, Z
Chen, Z
Zhang, Z
He, Z
Hong, Z
Date : 13 December 2015
Identification Number : 10.1109/ICCVW.2015.79
Contributors :
ContributionNameEmailORCID
IEEE,
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 22 Aug 2017 10:42
Last Modified : 31 Oct 2017 18:09
URI: http://epubs.surrey.ac.uk/id/eprint/810267

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