The Visual Object Tracking VOT2017 Challenge Results

Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin Zajc, Tomas Vojir, Gustav Häger, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernández, Álvaro García-Martín, Andrej Muhic, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Antoine Manzanera, Antoine Tran, A. Aydin Alatan, Bogdan Mocanu, Boyu Chen, Chang Huang, Changsheng Xu, Chong Sun, Dalong Du, David Zhang, Dawei Du, Deepak Mishra, Erhan Gundogdu, Erik Velasco-Salido, Fahad Shahbaz Khan, Francesco Battistone, Gorthi R. K. Sai Subrahmanyam, Goutam Bhat, Guan Huang, Guilherme Sousa Bastos, Guna Seetharaman, Hongliang Zhang, Houqiang Li, Huchuan Lu, Isabela Drummond, Jack Valmadre, Jae-chan Jeong, Jaeil Cho, Jae-Yeong Lee, Jana Noskova, Jianke Zhu, Jin Gao, Jingyu Liu, Ji-Wan Kim, João F. Henriques, José M. Martínez, Junfei Zhuang, Junliang Xing, Junyu Gao, Kai Chen, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Kris M. Kitani, Lei Zhang, Lijun Wang, Lingxiao Yang, Longyin Wen, Luca Bertinetto, Mahdieh Poostchi, Martin Danelljan, Matthias Mueller, Mengdan Zhang, Ming-Hsuan Yang, Nianhao Xie, Ning Wang, Ondrej Miksik, Payman Moallem, Pallavi M. Venugopal, Pedro Senna, Philip H. S. Torr, Qiang Wang, Qifeng Yu, Qingming Huang, Rafael Martin Nieto, Richard Bowden, Risheng Liu, Ruxandra Tapu, Simon Hadfield, Siwei Lyu, Stuart Golodetz, Sunglok Choi, Tianzhu Zhang, Titus Zaharia, Vincenzo Santopietro, Wei Zou, Weiming Hu, Wenbing Tao, Wenbo Li, Wengang Zhou, Xianguo Yu, Xiao Bian, Yang Li, Yifan Xing, Yingruo Fan, Zheng Zhu, Zhipeng Zhang, Zhiqun He

Abstract

The Visual Object Tracking challenge VOT2017 is the fifth annual tracker benchmarking activity organized by the VOT initiative. Results of 51 trackers are presented; many are state-of-the-art published at major computer vision conferences or journals in recent years. The evaluation included the standard VOT and other popular methodologies and a new "real-time" experiment simulating a situation where a tracker processes images as if provided by a continuously running sensor. Performance of the tested trackers typically by far exceeds standard baselines. The source code for most of the trackers is publicly available from the VOT page. The VOT2017 goes beyond its predecessors by (i) improving the VOT public dataset and introducing a separate VOT2017 sequestered dataset, (ii) introducing a realtime tracking experiment and (iii) releasing a redesigned toolkit that supports complex experiments. The dataset, the evaluation kit and the results are publicly available at the challenge website1.

Cite

Text

Kristan et al. "The Visual Object Tracking VOT2017 Challenge Results." IEEE/CVF International Conference on Computer Vision Workshops, 2017. doi:10.1109/ICCVW.2017.230

Markdown

[Kristan et al. "The Visual Object Tracking VOT2017 Challenge Results." IEEE/CVF International Conference on Computer Vision Workshops, 2017.](https://mlanthology.org/iccvw/2017/kristan2017iccvw-visual/) doi:10.1109/ICCVW.2017.230

BibTeX

@inproceedings{kristan2017iccvw-visual,
  title     = {{The Visual Object Tracking VOT2017 Challenge Results}},
  author    = {Kristan, Matej and Leonardis, Ales and Matas, Jiri and Felsberg, Michael and Pflugfelder, Roman P. and Zajc, Luka Cehovin and Vojir, Tomas and Häger, Gustav and Lukezic, Alan and Eldesokey, Abdelrahman and Fernández, Gustavo and García-Martín, Álvaro and Muhic, Andrej and Petrosino, Alfredo and Memarmoghadam, Alireza and Vedaldi, Andrea and Manzanera, Antoine and Tran, Antoine and Alatan, A. Aydin and Mocanu, Bogdan and Chen, Boyu and Huang, Chang and Xu, Changsheng and Sun, Chong and Du, Dalong and Zhang, David and Du, Dawei and Mishra, Deepak and Gundogdu, Erhan and Velasco-Salido, Erik and Khan, Fahad Shahbaz and Battistone, Francesco and Subrahmanyam, Gorthi R. K. Sai and Bhat, Goutam and Huang, Guan and Bastos, Guilherme Sousa and Seetharaman, Guna and Zhang, Hongliang and Li, Houqiang and Lu, Huchuan and Drummond, Isabela and Valmadre, Jack and Jeong, Jae-chan and Cho, Jaeil and Lee, Jae-Yeong and Noskova, Jana and Zhu, Jianke and Gao, Jin and Liu, Jingyu and Kim, Ji-Wan and Henriques, João F. and Martínez, José M. and Zhuang, Junfei and Xing, Junliang and Gao, Junyu and Chen, Kai and Palaniappan, Kannappan and Lebeda, Karel and Gao, Ke and Kitani, Kris M. and Zhang, Lei and Wang, Lijun and Yang, Lingxiao and Wen, Longyin and Bertinetto, Luca and Poostchi, Mahdieh and Danelljan, Martin and Mueller, Matthias and Zhang, Mengdan and Yang, Ming-Hsuan and Xie, Nianhao and Wang, Ning and Miksik, Ondrej and Moallem, Payman and Venugopal, Pallavi M. and Senna, Pedro and Torr, Philip H. S. and Wang, Qiang and Yu, Qifeng and Huang, Qingming and Nieto, Rafael Martin and Bowden, Richard and Liu, Risheng and Tapu, Ruxandra and Hadfield, Simon and Lyu, Siwei and Golodetz, Stuart and Choi, Sunglok and Zhang, Tianzhu and Zaharia, Titus and Santopietro, Vincenzo and Zou, Wei and Hu, Weiming and Tao, Wenbing and Li, Wenbo and Zhou, Wengang and Yu, Xianguo and Bian, Xiao and Li, Yang and Xing, Yifan and Fan, Yingruo and Zhu, Zheng and Zhang, Zhipeng and He, Zhiqun},
  booktitle = {IEEE/CVF International Conference on Computer Vision Workshops},
  year      = {2017},
  pages     = {1949-1972},
  doi       = {10.1109/ICCVW.2017.230},
  url       = {https://mlanthology.org/iccvw/2017/kristan2017iccvw-visual/}
}