The Seventh Visual Object Tracking VOT2019 Challenge Results

Matej Kristan, Jiri Matas, Ales Leonardis, Michael Felsberg, Roman Pflugfelder, Joni-Kristian Kamarainen, Luka Cehovin Zajc, Ondrej Drbohlav, Alan Lukezic, Amanda Berg, Abdelrahman Eldesokey, Jani Kapyla, Gustavo Fernandez, Abel Gonzalez-Garcia, Alireza Memarmoghadam, Andong Lu, Anfeng He, Anton Varfolomieiev, Antoni Chan, Ardhendu Shekhar Tripathi, Arnold Smeulders, Bala Suraj Pedasingu, Bao Xin Chen, Baopeng Zhang, Baoyuan Wu, Bi Li, Bin He, Bin Yan, Bing Bai, Bing Li, Bo Li, Byeong Hak Kim, Byeong Hak Ki; Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2019, pp. 0-0

Abstract


The Visual Object Tracking challenge VOT2019 is the seventh annual tracker benchmarking activity organized by the VOT initiative. Results of 81 trackers are presented; many are state-of-the-art trackers published at major computer vision conferences or in journals in the recent years. The evaluation included the standard VOT and other popular methodologies for short-term tracking analysis as well as the standard VOT methodology for long-term tracking analysis. The VOT2019 challenge was composed of five challenges focusing on different tracking domains: (i) VOTST2019 challenge focused on short-term tracking in RGB, (ii) VOT-RT2019 challenge focused on "real-time" shortterm tracking in RGB, (iii) VOT-LT2019 focused on longterm tracking namely coping with target disappearance and reappearance. Two new challenges have been introduced: (iv) VOT-RGBT2019 challenge focused on short-term tracking in RGB and thermal imagery and (v) VOT-RGBD2019 challenge focused on long-term tracking in RGB and depth imagery. The VOT-ST2019, VOT-RT2019 and VOT-LT2019 datasets were refreshed while new datasets were introduced for VOT-RGBT2019 and VOT-RGBD2019. The VOT toolkit has been updated to support both standard shortterm, long-term tracking and tracking with multi-channel imagery. 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 dataset, the evaluation kit and the results are publicly available at the challenge website.

Related Material


[pdf]
[bibtex]
@InProceedings{Kristan_2019_ICCV,
author = {Kristan, Matej and Matas, Jiri and Leonardis, Ales and Felsberg, Michael and Pflugfelder, Roman and Kamarainen, Joni-Kristian and Cehovin Zajc, Luka and Drbohlav, Ondrej and Lukezic, Alan and Berg, Amanda and Eldesokey, Abdelrahman and Kapyla, Jani and Fernandez, Gustavo and Gonzalez-Garcia, Abel and Memarmoghadam, Alireza and Lu, Andong and He, Anfeng and Varfolomieiev, Anton and Chan, Antoni and Shekhar Tripathi, Ardhendu and Smeulders, Arnold and Suraj Pedasingu, Bala and Xin Chen, Bao and Zhang, Baopeng and Wu, Baoyuan and Li, Bi and He, Bin and Yan, Bin and Bai, Bing and Li, Bing and Li, Bo and Hak Kim, Byeong and Hak Ki, Byeong},
title = {The Seventh Visual Object Tracking VOT2019 Challenge Results},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}