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
- Hong, Z
DOIAbstract
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...
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