The sixth visual object tracking VOT2018 challenge results

Matej Kristan; Aleš Leonardis; Jiří Matas; Michael Felsberg; Roman Pflugfelder; Luka Čehovin Zajc; Tomáš Vojír̃; Goutam Bhat; Alan Lukežič; Abdelrahman Eldesokey; Gustavo Fernández; Álvaro García-Martín; Álvaro Iglesias-Arias; A. Aydin Alatan; Abel González-García; Alfredo Petrosino; Alireza Memarmoghadam; Andrea Vedaldi; Andrej Muhič; Anfeng He; Arnold Smeulders; Asanka G. Perera; Bo Li; Boyu Chen; Changick Kim; Changsheng Xu; Changzhen Xiong; Cheng Tian; Chong Luo; Chong Sun; Cong Hao; Daijin Kim; Deepak Mishra; Deming Chen; Dong Wang; Dongyoon Wee; Efstratios Gavves; Erhan Gundogdu; Erik Velasco-Salido; Fahad Shahbaz Khan; Fan Yang; Fei Zhao; Feng Li; Francesco Battistone; George De Ath; Gorthi R.K.S. Subrahmanyam; Guilherme Bastos; Haibin Ling; Hamed Kiani Galoogahi; Hankyeol Lee; Haojie Li; Haojie Zhao; Heng Fan; Honggang Zhang; Horst Possegger; Houqiang Li; Huchuan Lu; Hui Zhi; Huiyun Li; Hyemin Lee; Hyung Jin Chang; Isabela Drummond; Jack Valmadre; Jaime Spencer Martin; Javaan Chahl; Jin Young Choi; Jing Li; Jinqiao Wang; Jinqing Qi; Jinyoung Sung; Joakim Johnander; Joao Henriques; Jongwon Choi; Joost van de Weijer; Jorge Rodríguez Herranz; José M. Martínez; Josef Kittler; Junfei Zhuang; Junyu Gao; Klemen Grm; Lichao Zhang; Lijun Wang; Lingxiao Yang; Litu Rout; Liu Si; Luca Bertinetto; Lutao Chu; Manqiang Che; Mario Edoardo Maresca; Martin Danelljan; Ming Hsuan Yang; Mohamed Abdelpakey; Mohamed Shehata; Myunggu Kang; Namhoon Lee; Ning Wang; Ondrej Miksik; P. Moallem; Pablo Vicente-Moñivar; Pedro Senna; Peixia Li; Philip Torr; Priya Mariam Raju; Qian Ruihe; Qiang Wang; Qin Zhou; Qing Guo; Rafael Martín-Nieto; Rama Krishna Gorthi; Ran Tao; Richard Bowden; Richard Everson; Runling Wang; Sangdoo Yun; Seokeon Choi; Sergio Vivas; Shuai Bai; Shuangping Huang; Sihang Wu; Simon Hadfield; Siwen Wang; Stuart Golodetz; Tang Ming; Tianyang Xu; Tianzhu Zhang; Tobias Fischer; Vincenzo Santopietro; Vitomir Štruc; Wang Wei; Wangmeng Zuo; Wei Feng; Wei Wu; Wei Zou; Weiming Hu; Wengang Zhou; Wenjun Zeng; Xiaofan Zhang; Xiaohe Wu; Xiao Jun Wu; Xinmei Tian; Yan Li; Yan Lu; Yee Wei Law; Yi Wu; Yiannis Demiris; Yicai Yang; Yifan Jiao; Yuhong Li; Yunhua Zhang; Yuxuan Sun; Zheng Zhang; Zheng Zhu; Zhen Hua Feng; Zhihui Wang; Zhiqun He

doi:10.1007/978-3-030-11009-3_1

The sixth visual object tracking VOT2018 challenge results

Matej Kristan^*
, Aleš Leonardis
, Jiří Matas
, Michael Felsberg
, Roman Pflugfelder
, Luka Čehovin Zajc
, Tomáš Vojír̃
, Goutam Bhat
, Alan Lukežič
, Abdelrahman Eldesokey
, Gustavo Fernández
, Álvaro García-Martín
, Álvaro Iglesias-Arias
, A. Aydin Alatan
, Abel González-García
, Alfredo Petrosino
, Alireza Memarmoghadam
, Andrea Vedaldi
, Andrej Muhič
, Anfeng He

Arnold Smeulders, Asanka G. Perera, Bo Li, Boyu Chen, Changick Kim, Changsheng Xu, Changzhen Xiong, Cheng Tian, Chong Luo, Chong Sun, Cong Hao, Daijin Kim, Deepak Mishra, Deming Chen, Dong Wang, Dongyoon Wee, Efstratios Gavves, Erhan Gundogdu, Erik Velasco-Salido, Fahad Shahbaz Khan, Fan Yang, Fei Zhao, Feng Li, Francesco Battistone, George De Ath, Gorthi R.K.S. Subrahmanyam, Guilherme Bastos, Haibin Ling, Hamed Kiani Galoogahi, Hankyeol Lee, Haojie Li, Haojie Zhao, Heng Fan, Honggang Zhang, Horst Possegger, Houqiang Li, Huchuan Lu, Hui Zhi, Huiyun Li, Hyemin Lee, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jaime Spencer Martin, Javaan Chahl, Jin Young Choi, Jing Li, Jinqiao Wang, Jinqing Qi, Jinyoung Sung, Joakim Johnander, Joao Henriques, Jongwon Choi, Joost van de Weijer, Jorge Rodríguez Herranz, José M. Martínez, Josef Kittler, Junfei Zhuang, Junyu Gao, Klemen Grm, Lichao Zhang, Lijun Wang, Lingxiao Yang, Litu Rout, Liu Si, Luca Bertinetto, Lutao Chu, Manqiang Che, Mario Edoardo Maresca, Martin Danelljan, Ming Hsuan Yang, Mohamed Abdelpakey, Mohamed Shehata, Myunggu Kang, Namhoon Lee, Ning Wang, Ondrej Miksik, P. Moallem, Pablo Vicente-Moñivar, Pedro Senna, Peixia Li, Philip Torr, Priya Mariam Raju, Qian Ruihe, Qiang Wang, Qin Zhou, Qing Guo, Rafael Martín-Nieto, Rama Krishna Gorthi, Ran Tao, Richard Bowden, Richard Everson, Runling Wang, Sangdoo Yun, Seokeon Choi, Sergio Vivas, Shuai Bai, Shuangping Huang, Sihang Wu, Simon Hadfield, Siwen Wang, Stuart Golodetz, Tang Ming, Tianyang Xu, Tianzhu Zhang, Tobias Fischer, Vincenzo Santopietro, Vitomir Štruc, Wang Wei, Wangmeng Zuo, Wei Feng, Wei Wu, Wei Zou, Weiming Hu, Wengang Zhou, Wenjun Zeng, Xiaofan Zhang, Xiaohe Wu, Xiao Jun Wu, Xinmei Tian, Yan Li, Yan Lu, Yee Wei Law, Yi Wu, Yiannis Demiris, Yicai Yang, Yifan Jiao, Yuhong Li, Yunhua Zhang, Yuxuan Sun, Zheng Zhang, Zheng Zhu, Zhen Hua Feng, Zhihui Wang, Zhiqun He

^*Corresponding author for this work

School of Computer Science and Engineering

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Microsoft USA
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Pohang University of Science and Technology
Indian Institute of Space Science and Technology
NAVER Corporation
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Mer Mec S.p.A.
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Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

239 Scopus citations

Abstract

The Visual Object Tracking challenge VOT2018 is the sixth annual tracker benchmarking activity organized by the VOT initiative. Results of over eighty 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 and a “real-time” experiment simulating a situation where a tracker processes images as if provided by a continuously running sensor. A long-term tracking subchallenge has been introduced to the set of standard VOT sub-challenges. The new subchallenge focuses on long-term tracking properties, namely coping with target disappearance and reappearance. A new dataset has been compiled and a performance evaluation methodology that focuses on long-term tracking capabilities has been adopted. The VOT toolkit has been updated to support both standard short-term and the new long-term tracking subchallenges. 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 (http://votchallenge.net).

Original language	English
Title of host publication	Computer Vision – ECCV 2018 Workshops, Proceedings
Editors	Laura Leal-Taixé, Stefan Roth
Publisher	Springer Verlag
Pages	3-53
Number of pages	51
ISBN (Print)	9783030110086
DOIs	https://doi.org/10.1007/978-3-030-11009-3_1
State	Published - 2019
Event	15th European Conference on Computer Vision, ECCV 2018 - Munich, Germany Duration: 8 Sep 2018 → 14 Sep 2018

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11129 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	15th European Conference on Computer Vision, ECCV 2018
Country/Territory	Germany
City	Munich
Period	8/09/18 → 14/09/18

Access to Document

10.1007/978-3-030-11009-3_1

Cite this

Kristan, M., Leonardis, A., Matas, J., Felsberg, M., Pflugfelder, R., Zajc, L. Č., Vojír̃, T., Bhat, G., Lukežič, A., Eldesokey, A., Fernández, G., García-Martín, Á., Iglesias-Arias, Á., Alatan, A. A., González-García, A., Petrosino, A., Memarmoghadam, A., Vedaldi, A., Muhič, A., ... He, Z. (2019). The sixth visual object tracking VOT2018 challenge results. In L. Leal-Taixé, & S. Roth (Eds.), Computer Vision – ECCV 2018 Workshops, Proceedings (pp. 3-53). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11129 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-030-11009-3_1

Kristan, Matej ; Leonardis, Aleš ; Matas, Jiří et al. / The sixth visual object tracking VOT2018 challenge results. Computer Vision – ECCV 2018 Workshops, Proceedings. editor / Laura Leal-Taixé ; Stefan Roth. Springer Verlag, 2019. pp. 3-53 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{065558094bea491b82c6a2432ad7ce17,

title = "The sixth visual object tracking VOT2018 challenge results",

abstract = "The Visual Object Tracking challenge VOT2018 is the sixth annual tracker benchmarking activity organized by the VOT initiative. Results of over eighty 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 and a “real-time” experiment simulating a situation where a tracker processes images as if provided by a continuously running sensor. A long-term tracking subchallenge has been introduced to the set of standard VOT sub-challenges. The new subchallenge focuses on long-term tracking properties, namely coping with target disappearance and reappearance. A new dataset has been compiled and a performance evaluation methodology that focuses on long-term tracking capabilities has been adopted. The VOT toolkit has been updated to support both standard short-term and the new long-term tracking subchallenges. 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 (http://votchallenge.net).",

author = "Matej Kristan and Ale{\v s} Leonardis and Ji{\v r}{\'i} Matas and Michael Felsberg and Roman Pflugfelder and Zajc, \{Luka {\v C}ehovin\} and Tom{\'a}{\v s} Voj{\'i}{\~r} and Goutam Bhat and Alan Luke{\v z}i{\v c} and Abdelrahman Eldesokey and Gustavo Fern{\'a}ndez and {\'A}lvaro Garc{\'i}a-Mart{\'i}n and {\'A}lvaro Iglesias-Arias and Alatan, \{A. Aydin\} and Abel Gonz{\'a}lez-Garc{\'i}a and Alfredo Petrosino and Alireza Memarmoghadam and Andrea Vedaldi and Andrej Muhi{\v c} and Anfeng He and Arnold Smeulders and Perera, \{Asanka G.\} and Bo Li and Boyu Chen and Changick Kim and Changsheng Xu and Changzhen Xiong and Cheng Tian and Chong Luo and Chong Sun and Cong Hao and Daijin Kim and Deepak Mishra and Deming Chen and Dong Wang and Dongyoon Wee and Efstratios Gavves and Erhan Gundogdu and Erik Velasco-Salido and Khan, \{Fahad Shahbaz\} and Fan Yang and Fei Zhao and Feng Li and Francesco Battistone and \{De Ath\}, George and Subrahmanyam, \{Gorthi R.K.S.\} and Guilherme Bastos and Haibin Ling and Galoogahi, \{Hamed Kiani\} and Hankyeol Lee and Haojie Li and Haojie Zhao and Heng Fan and Honggang Zhang and Horst Possegger and Houqiang Li and Huchuan Lu and Hui Zhi and Huiyun Li and Hyemin Lee and Chang, \{Hyung Jin\} and Isabela Drummond and Jack Valmadre and Martin, \{Jaime Spencer\} and Javaan Chahl and Choi, \{Jin Young\} and Jing Li and Jinqiao Wang and Jinqing Qi and Jinyoung Sung and Joakim Johnander and Joao Henriques and Jongwon Choi and \{van de Weijer\}, Joost and Herranz, \{Jorge Rodr{\'i}guez\} and Mart{\'i}nez, \{Jos{\'e} M.\} and Josef Kittler and Junfei Zhuang and Junyu Gao and Klemen Grm and Lichao Zhang and Lijun Wang and Lingxiao Yang and Litu Rout and Liu Si and Luca Bertinetto and Lutao Chu and Manqiang Che and Maresca, \{Mario Edoardo\} and Martin Danelljan and Yang, \{Ming Hsuan\} and Mohamed Abdelpakey and Mohamed Shehata and Myunggu Kang and Namhoon Lee and Ning Wang and Ondrej Miksik and P. Moallem and Pablo Vicente-Mo{\~n}ivar and Pedro Senna and Peixia Li and Philip Torr and Raju, \{Priya Mariam\} and Qian Ruihe and Qiang Wang and Qin Zhou and Qing Guo and Rafael Mart{\'i}n-Nieto and Gorthi, \{Rama Krishna\} and Ran Tao and Richard Bowden and Richard Everson and Runling Wang and Sangdoo Yun and Seokeon Choi and Sergio Vivas and Shuai Bai and Shuangping Huang and Sihang Wu and Simon Hadfield and Siwen Wang and Stuart Golodetz and Tang Ming and Tianyang Xu and Tianzhu Zhang and Tobias Fischer and Vincenzo Santopietro and Vitomir {\v S}truc and Wang Wei and Wangmeng Zuo and Wei Feng and Wei Wu and Wei Zou and Weiming Hu and Wengang Zhou and Wenjun Zeng and Xiaofan Zhang and Xiaohe Wu and Wu, \{Xiao Jun\} and Xinmei Tian and Yan Li and Yan Lu and Law, \{Yee Wei\} and Yi Wu and Yiannis Demiris and Yicai Yang and Yifan Jiao and Yuhong Li and Yunhua Zhang and Yuxuan Sun and Zheng Zhang and Zheng Zhu and Feng, \{Zhen Hua\} and Zhihui Wang and Zhiqun He",

note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2019.; 15th European Conference on Computer Vision, ECCV 2018 ; Conference date: 08-09-2018 Through 14-09-2018",

year = "2019",

doi = "10.1007/978-3-030-11009-3\_1",

language = "英语",

isbn = "9783030110086",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "3--53",

editor = "Laura Leal-Taix{\'e} and Stefan Roth",

booktitle = "Computer Vision – ECCV 2018 Workshops, Proceedings",

address = "德国",

}

Kristan, M, Leonardis, A, Matas, J, Felsberg, M, Pflugfelder, R, Zajc, LČ, Vojír̃, T, Bhat, G, Lukežič, A, Eldesokey, A, Fernández, G, García-Martín, Á, Iglesias-Arias, Á, Alatan, AA, González-García, A, Petrosino, A, Memarmoghadam, A, Vedaldi, A, Muhič, A, He, A, Smeulders, A, Perera, AG, Li, B, Chen, B, Kim, C, Xu, C, Xiong, C, Tian, C, Luo, C, Sun, C, Hao, C, Kim, D, Mishra, D, Chen, D, Wang, D, Wee, D, Gavves, E, Gundogdu, E, Velasco-Salido, E, Khan, FS, Yang, F, Zhao, F, Li, F, Battistone, F, De Ath, G, Subrahmanyam, GRKS, Bastos, G, Ling, H, Galoogahi, HK, Lee, H, Li, H, Zhao, H, Fan, H, Zhang, H, Possegger, H, Li, H, Lu, H, Zhi, H, Li, H, Lee, H, Chang, HJ, Drummond, I, Valmadre, J, Martin, JS, Chahl, J, Choi, JY, Li, J, Wang, J, Qi, J, Sung, J, Johnander, J, Henriques, J, Choi, J, van de Weijer, J, Herranz, JR, Martínez, JM, Kittler, J, Zhuang, J, Gao, J, Grm, K, Zhang, L, Wang, L, Yang, L, Rout, L, Si, L, Bertinetto, L, Chu, L, Che, M, Maresca, ME, Danelljan, M, Yang, MH, Abdelpakey, M, Shehata, M, Kang, M, Lee, N, Wang, N, Miksik, O, Moallem, P, Vicente-Moñivar, P, Senna, P, Li, P, Torr, P, Raju, PM, Ruihe, Q, Wang, Q, Zhou, Q, Guo, Q, Martín-Nieto, R, Gorthi, RK, Tao, R, Bowden, R, Everson, R, Wang, R, Yun, S, Choi, S, Vivas, S, Bai, S, Huang, S, Wu, S, Hadfield, S, Wang, S, Golodetz, S, Ming, T, Xu, T, Zhang, T, Fischer, T, Santopietro, V, Štruc, V, Wei, W, Zuo, W, Feng, W, Wu, W, Zou, W, Hu, W, Zhou, W, Zeng, W, Zhang, X, Wu, X, Wu, XJ, Tian, X, Li, Y, Lu, Y, Law, YW, Wu, Y, Demiris, Y, Yang, Y, Jiao, Y, Li, Y, Zhang, Y, Sun, Y, Zhang, Z, Zhu, Z, Feng, ZH, Wang, Z & He, Z 2019, The sixth visual object tracking VOT2018 challenge results. in L Leal-Taixé & S Roth (eds), Computer Vision – ECCV 2018 Workshops, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11129 LNCS, Springer Verlag, pp. 3-53, 15th European Conference on Computer Vision, ECCV 2018, Munich, Germany, 8/09/18. https://doi.org/10.1007/978-3-030-11009-3_1

The sixth visual object tracking VOT2018 challenge results. / Kristan, Matej; Leonardis, Aleš; Matas, Jiří et al.
Computer Vision – ECCV 2018 Workshops, Proceedings. ed. / Laura Leal-Taixé; Stefan Roth. Springer Verlag, 2019. p. 3-53 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11129 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - The sixth visual object tracking VOT2018 challenge results

AU - Kristan, Matej

AU - Leonardis, Aleš

AU - Matas, Jiří

AU - Felsberg, Michael

AU - Pflugfelder, Roman

AU - Zajc, Luka Čehovin

AU - Vojír̃, Tomáš

AU - Bhat, Goutam

AU - Lukežič, Alan

AU - Eldesokey, Abdelrahman

AU - Fernández, Gustavo

AU - García-Martín, Álvaro

AU - Iglesias-Arias, Álvaro

AU - Alatan, A. Aydin

AU - González-García, Abel

AU - Petrosino, Alfredo

AU - Memarmoghadam, Alireza

AU - Vedaldi, Andrea

AU - Muhič, Andrej

AU - He, Anfeng

AU - Smeulders, Arnold

AU - Perera, Asanka G.

AU - Li, Bo

AU - Chen, Boyu

AU - Kim, Changick

AU - Xu, Changsheng

AU - Xiong, Changzhen

AU - Tian, Cheng

AU - Luo, Chong

AU - Sun, Chong

AU - Hao, Cong

AU - Kim, Daijin

AU - Mishra, Deepak

AU - Chen, Deming

AU - Wang, Dong

AU - Wee, Dongyoon

AU - Gavves, Efstratios

AU - Gundogdu, Erhan

AU - Velasco-Salido, Erik

AU - Khan, Fahad Shahbaz

AU - Yang, Fan

AU - Zhao, Fei

AU - Li, Feng

AU - Battistone, Francesco

AU - De Ath, George

AU - Subrahmanyam, Gorthi R.K.S.

AU - Bastos, Guilherme

AU - Ling, Haibin

AU - Galoogahi, Hamed Kiani

AU - Lee, Hankyeol

AU - Li, Haojie

AU - Zhao, Haojie

AU - Fan, Heng

AU - Zhang, Honggang

AU - Possegger, Horst

AU - Li, Houqiang

AU - Lu, Huchuan

AU - Zhi, Hui

AU - Li, Huiyun

AU - Lee, Hyemin

AU - Chang, Hyung Jin

AU - Drummond, Isabela

AU - Valmadre, Jack

AU - Martin, Jaime Spencer

AU - Chahl, Javaan

AU - Choi, Jin Young

AU - Li, Jing

AU - Wang, Jinqiao

AU - Qi, Jinqing

AU - Sung, Jinyoung

AU - Johnander, Joakim

AU - Henriques, Joao

AU - Choi, Jongwon

AU - van de Weijer, Joost

AU - Herranz, Jorge Rodríguez

AU - Martínez, José M.

AU - Kittler, Josef

AU - Zhuang, Junfei

AU - Gao, Junyu

AU - Grm, Klemen

AU - Zhang, Lichao

AU - Wang, Lijun

AU - Yang, Lingxiao

AU - Rout, Litu

AU - Si, Liu

AU - Bertinetto, Luca

AU - Chu, Lutao

AU - Che, Manqiang

AU - Maresca, Mario Edoardo

AU - Danelljan, Martin

AU - Yang, Ming Hsuan

AU - Abdelpakey, Mohamed

AU - Shehata, Mohamed

AU - Kang, Myunggu

AU - Lee, Namhoon

AU - Wang, Ning

AU - Miksik, Ondrej

AU - Moallem, P.

AU - Vicente-Moñivar, Pablo

AU - Senna, Pedro

AU - Li, Peixia

AU - Torr, Philip

AU - Raju, Priya Mariam

AU - Ruihe, Qian

AU - Wang, Qiang

AU - Zhou, Qin

AU - Guo, Qing

AU - Martín-Nieto, Rafael

AU - Gorthi, Rama Krishna

AU - Tao, Ran

AU - Bowden, Richard

AU - Everson, Richard

AU - Wang, Runling

AU - Yun, Sangdoo

AU - Choi, Seokeon

AU - Vivas, Sergio

AU - Bai, Shuai

AU - Huang, Shuangping

AU - Wu, Sihang

AU - Hadfield, Simon

AU - Wang, Siwen

AU - Golodetz, Stuart

AU - Ming, Tang

AU - Xu, Tianyang

AU - Zhang, Tianzhu

AU - Fischer, Tobias

AU - Santopietro, Vincenzo

AU - Štruc, Vitomir

AU - Wei, Wang

AU - Zuo, Wangmeng

AU - Feng, Wei

AU - Wu, Wei

AU - Zou, Wei

AU - Hu, Weiming

AU - Zhou, Wengang

AU - Zeng, Wenjun

AU - Zhang, Xiaofan

AU - Wu, Xiaohe

AU - Wu, Xiao Jun

AU - Tian, Xinmei

AU - Li, Yan

AU - Lu, Yan

AU - Law, Yee Wei

AU - Wu, Yi

AU - Demiris, Yiannis

AU - Yang, Yicai

AU - Jiao, Yifan

AU - Li, Yuhong

AU - Zhang, Yunhua

AU - Sun, Yuxuan

AU - Zhang, Zheng

AU - Zhu, Zheng

AU - Feng, Zhen Hua

AU - Wang, Zhihui

AU - He, Zhiqun

PY - 2019

Y1 - 2019

N2 - The Visual Object Tracking challenge VOT2018 is the sixth annual tracker benchmarking activity organized by the VOT initiative. Results of over eighty 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 and a “real-time” experiment simulating a situation where a tracker processes images as if provided by a continuously running sensor. A long-term tracking subchallenge has been introduced to the set of standard VOT sub-challenges. The new subchallenge focuses on long-term tracking properties, namely coping with target disappearance and reappearance. A new dataset has been compiled and a performance evaluation methodology that focuses on long-term tracking capabilities has been adopted. The VOT toolkit has been updated to support both standard short-term and the new long-term tracking subchallenges. 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 (http://votchallenge.net).

AB - The Visual Object Tracking challenge VOT2018 is the sixth annual tracker benchmarking activity organized by the VOT initiative. Results of over eighty 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 and a “real-time” experiment simulating a situation where a tracker processes images as if provided by a continuously running sensor. A long-term tracking subchallenge has been introduced to the set of standard VOT sub-challenges. The new subchallenge focuses on long-term tracking properties, namely coping with target disappearance and reappearance. A new dataset has been compiled and a performance evaluation methodology that focuses on long-term tracking capabilities has been adopted. The VOT toolkit has been updated to support both standard short-term and the new long-term tracking subchallenges. 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 (http://votchallenge.net).

UR - https://www.scopus.com/pages/publications/85061750502

U2 - 10.1007/978-3-030-11009-3_1

DO - 10.1007/978-3-030-11009-3_1

M3 - 会议稿件

AN - SCOPUS:85061750502

SN - 9783030110086

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 3

EP - 53

BT - Computer Vision – ECCV 2018 Workshops, Proceedings

A2 - Leal-Taixé, Laura

A2 - Roth, Stefan

PB - Springer Verlag

T2 - 15th European Conference on Computer Vision, ECCV 2018

Y2 - 8 September 2018 through 14 September 2018

ER -

Kristan M, Leonardis A, Matas J, Felsberg M, Pflugfelder R, Zajc LČ et al. The sixth visual object tracking VOT2018 challenge results. In Leal-Taixé L, Roth S, editors, Computer Vision – ECCV 2018 Workshops, Proceedings. Springer Verlag. 2019. p. 3-53. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-11009-3_1

The sixth visual object tracking VOT2018 challenge results

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