The Visual Object Tracking VOT2015 challenge results (bibtex)

by M. Kristan, J. Matas, A. Leonardis, M. Felsberg, L. \v Cehovin, G. Fernández, T. Vojí \v r, G. Häger, G. Nebehay, R. Pflugfelder, A. Gupta, A. Bibi, A. Luke\v zi\v c, A. Garcia-Martin, A. Petrosino, A. Saffari, A.S. Montero, A. Varfolomieiev, A. Baskurt, B. Zhao, B. Ghanem, B. Martinez, B. Lee, B. Han, C. Wang, C. Garcia, C. Zhang, C. Schmid, D. Tao, D. Kim, D. Huang, D. Prokhorov, D. Du, D.-Y. Yeung, E. Ribeiro, F.S. Khan, F. Porikli, F. Bunyak, G. Zhu, G. Seetharaman, H. Kieritz, H.T. Yau, H. Li, H. Qi, H. Bischof, H. Possegger, H. Lee, H. Nam, I. Bogun, J.-C. Jeong, J.-I. Cho, J.-Y. Lee, J. Zhu, J. Shi, J. Li, J. Jia, J. Feng, J. Gao, J.Y. Choi, J.-W. Kim, J. Lang, J.M. Martinez, J. Choi, J. Xing, K. Xue, K. Palaniappan, K. Lebeda, K. Alahari, K. Gao, K. Yun, K.H. Wong, L. Luo, L. Ma, L. Ke, L. Wen, L. Bertinetto, M. Pootschi, M. Maresca, M. Danelljan, M. Wen, M. Zhang, M. Arens, M. Valstar, M. Tang, M.-C. Chang, M.H. Khan, N. Fan, N. Wang, O. Mikší k, P. Torr, Q. Wang, R. Martin-Nieto, R. Pelapur, R. Bowden, R. Laganière, S. Moujtahid, S. Hare, S. Hadfield, S. Lyu, S. Li, S.-C. Zhu, S. Becker, S. Duffner, S.L. Hicks, S. Golodetz, S. Choi, T. Wu, T. Mauthner, T. Pridmore, W. Hu, W. Hübner, X. Wang, X. Li, X. Shi, X. Zhao, X. Mei, Y. Shizeng, Y. Hua, Y. Li, Y. Lu, Y. Li, Z. Chen, Z. Huang, Z. Chen, Z. Zhang, Z. He, Z. Hong

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.

Reference:

The Visual Object Tracking VOT2015 challenge results (M. Kristan, J. Matas, A. Leonardis, M. Felsberg, L. \v Cehovin, G. Fernández, T. Vojí \v r, G. Häger, G. Nebehay, R. Pflugfelder, A. Gupta, A. Bibi, A. Luke\v zi\v c, A. Garcia-Martin, A. Petrosino, A. Saffari, A.S. Montero, A. Varfolomieiev, A. Baskurt, B. Zhao, B. Ghanem, B. Martinez, B. Lee, B. Han, C. Wang, C. Garcia, C. Zhang, C. Schmid, D. Tao, D. Kim, D. Huang, D. Prokhorov, D. Du, D.-Y. Yeung, E. Ribeiro, F.S. Khan, F. Porikli, F. Bunyak, G. Zhu, G. Seetharaman, H. Kieritz, H.T. Yau, H. Li, H. Qi, H. Bischof, H. Possegger, H. Lee, H. Nam, I. Bogun, J.-C. Jeong, J.-I. Cho, J.-Y. Lee, J. Zhu, J. Shi, J. Li, J. Jia, J. Feng, J. Gao, J.Y. Choi, J.-W. Kim, J. Lang, J.M. Martinez, J. Choi, J. Xing, K. Xue, K. Palaniappan, K. Lebeda, K. Alahari, K. Gao, K. Yun, K.H. Wong, L. Luo, L. Ma, L. Ke, L. Wen, L. Bertinetto, M. Pootschi, M. Maresca, M. Danelljan, M. Wen, M. Zhang, M. Arens, M. Valstar, M. Tang, M.-C. Chang, M.H. Khan, N. Fan, N. Wang, O. Mikší k, P. Torr, Q. Wang, R. Martin-Nieto, R. Pelapur, R. Bowden, R. Laganière, S. Moujtahid, S. Hare, S. Hadfield, S. Lyu, S. Li, S.-C. Zhu, S. Becker, S. Duffner, S.L. Hicks, S. Golodetz, S. Choi, T. Wu, T. Mauthner, T. Pridmore, W. Hu, W. Hübner, X. Wang, X. Li, X. Shi, X. Zhao, X. Mei, Y. Shizeng, Y. Hua, Y. Li, Y. Lu, Y. Li, Z. Chen, Z. Huang, Z. Chen, Z. Zhang, Z. He, Z. Hong), In ICCV workshop on Visual Object Tracking Challenge, 2015.

Bibtex Entry:

@inproceedings{Lebeda-VOT2015, title = {The Visual Object Tracking VOT2015 challenge results}, booktitle = {ICCV workshop on Visual Object Tracking Challenge}, author = {M. Kristan and J. Matas and A. Leonardis and M. Felsberg and L. \v Cehovin and G. Fern\' andez and T. Voj\'\i \v r and G. H\" ager and G. Nebehay and R. Pflugfelder and A. Gupta and A. Bibi and A. Luke\v zi\v c and A. Garcia-Martin and A. Petrosino and A. Saffari and A.S. Montero and A. Varfolomieiev and A. Baskurt and B. Zhao and B. Ghanem and B. Martinez and B. Lee and B. Han and C. Wang and C. Garcia and C. Zhang and C. Schmid and D. Tao and D. Kim and D. Huang and D. Prokhorov and D. Du and D.-Y. Yeung and E. Ribeiro and F.S. Khan and F. Porikli and F. Bunyak and G. Zhu and G. Seetharaman and H. Kieritz and H.T. Yau and H. Li and H. Qi and H. Bischof and H. Possegger and H. Lee and H. Nam and I. Bogun and J.-C. Jeong and J.-I. Cho and J.-Y. Lee and J. Zhu and J. Shi and J. Li and J. Jia and J. Feng and J. Gao and J.Y. Choi and J.-W. Kim and J. Lang and J.M. Martinez and J. Choi and J. Xing and K. Xue and K. Palaniappan and K. Lebeda and K. Alahari and K. Gao and K. Yun and K.H. Wong and L. Luo and L. Ma and L. Ke and L. Wen and L. Bertinetto and M. Pootschi and M. Maresca and M. Danelljan and M. Wen and M. Zhang and M. Arens and M. Valstar and M. Tang and M.-C. Chang and M.H. Khan and N. Fan and N. Wang and O. Mik\v s\' \i k and P. Torr and Q. Wang and R. Martin-Nieto and R. Pelapur and R. Bowden and R. Lagani\`ere and S. Moujtahid and S. Hare and S. Hadfield and S. Lyu and S. Li and S.-C. Zhu and S. Becker and S. Duffner and S.L. Hicks and S. Golodetz and S. Choi and T. Wu and T. Mauthner and T. Pridmore and W. Hu and W. H\"ubner and X. Wang and X. Li and X. Shi and X. Zhao and X. Mei and Y. Shizeng and Y. Hua and Y. Li and Y. Lu and Y. Li and Z. Chen and Z. Huang and Z. Chen and Z. Zhang and Z. He and Z. Hong}, year = {2015}, month = {December}, day = {12}, venue = {Santiago, Chile}, url = {http://votchallenge.net/vot2015/download/vot_2015_paper.pdf}, 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.}, prestige = {international}, Doi = {10.1109/ICCVW.2015.79}, gsid = {5030672482439802527}, Pages = {564 -- 586}, status = {published} }

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