The Visual Object Tracking VOT2016 Challenge Results

Matej Kristan; Aleš Leonardis; Jiři Matas; Michael Felsberg; Roman Pflugfelder; Luka Čehovin; Tomáš Vojír̃; Gustav Häger; Alan Lukežič; Gustavo Fernández; Abhinav Gupta; Alfredo Petrosino; Alireza Memarmoghadam; Alvaro Garcia-Martin; Andrés Solís Montero; Andrea Vedaldi; Andreas Robinson; Andy J. Ma; Anton Varfolomieiev; Aydin Alatan; Aykut Erdem; Bernard Ghanem; Bin Liu; Bohyung Han; Brais Martinez; Chang-Ming Chang; Changsheng Xu; Chong Sun; Daijin Kim; Dapeng Chen; Dawei Du; Deepak Mishra; Dit-Yan Yeung; Erhan Gundogdu; Erkut Erdem; Fahad Khan; Fatih Porikli; Fei Zhao; Filiz Bunyak; Francesco Battistone; Gao Zhu; Giorgio Roffo; Gorthi R. K. Sai Subrahmanyam; Guilherme Bastos; Guna Seetharaman; Henry Medeiros; Hongdong Li; Honggang Qi; Horst Bischof; Horst Possegger; Huchuan Lu; Hyemin Lee; Hyeonseob Nam; Hyung Jin Chang; Isabela Drummond; Jack Valmadre; Jae-chan Jeong; Jae-il Cho; Jae-Yeong Lee; Jianke Zhu; Jiayi Feng; Jin Gao; Jin Young Choi; Jingjing Xiao; Ji-Wan Kim; Jiyeoup Jeong; João F. Henriques; Jochen Lang; Jongwon Choi; Jose M. Martinez; Junliang Xing; Junyu Gao; Kannappan Palaniappan; Karel Lebeda; Ke Gao; Krystian Mikolajczyk; Lei Qin; Lijun Wang; Longyin Wen; Luca Bertinetto; Madan Kumar Rapuru; Mahdieh Poostchi; Mario Maresca; Martin Danelljan; Matthias Mueller; Mengdan Zhang; Michael Arens; Michel Valstar; Ming Tang; Mooyeol Baek; Muhammad Haris Khan; Naiyan Wang; Nana Fan; Noor Al-Shakarji; Ondrej Miksik; Osman Akin; Payman Moallem; Pedro Senna; Philip H. S. Torr; Pong C. Yuen; Qingming Huang; Rafael Martin-Nieto; Rengarajan Pelapur; Richard Bowden; Robert Laganière; Rustam Stolkin; Ryan Walsh; Sebastian B. Krah; Shengkun Li; Shengping Zhang; Shizeng Yao; Simon Hadfield; Simone Melzi; Siwei Lyu; Siyi Li; Stefan Becker; Stuart Golodetz; Sumithra Kakanuru; Sunglok Choi; Tao Hu; Thomas Mauthner; Tianzhu Zhang; Tony Pridmore; Vincenzo Santopietro; Weiming Hu; Wenbo Li; Wolfgang Hübner; Xiangyuan Lan; Xiaomeng Wang; Xin Li; Yang Li; Yiannis Demiris; Yifan Wang; Yuankai Qi; Zejian Yuan; Zexiong Cai; Zhan Xu; Zhenyu He; Zhizhen Chi

doi:10.1007/978-3-319-48881-3_54

The Visual Object Tracking VOT2016 Challenge Results

Matej Kristan, Aleš Leonardis, Jiři Matas, Michael Felsberg, Roman Pflugfelder, Luka Čehovin, Tomáš Vojír̃, Gustav Häger, Alan Lukežič, Gustavo Fernández, Abhinav Gupta, Alfredo Petrosino, Alireza Memarmoghadam, Alvaro Garcia-Martin, Andrés Solís Montero, Andrea Vedaldi, Andreas Robinson, Andy J. Ma, Anton Varfolomieiev, Aydin AlatanAykut Erdem, Bernard Ghanem, Bin Liu, Bohyung Han, Brais Martinez, Chang-Ming Chang, Changsheng Xu, Chong Sun, Daijin Kim, Dapeng Chen, Dawei Du, Deepak Mishra, Dit-Yan Yeung, Erhan Gundogdu, Erkut Erdem, Fahad Khan, Fatih Porikli, Fei Zhao, Filiz Bunyak, Francesco Battistone, Gao Zhu, Giorgio Roffo, Gorthi R. K. Sai Subrahmanyam, Guilherme Bastos, Guna Seetharaman, Henry Medeiros, Hongdong Li, Honggang Qi, Horst Bischof, Horst Possegger, Huchuan Lu, Hyemin Lee, Hyeonseob Nam, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jae-chan Jeong, Jae-il Cho, Jae-Yeong Lee, Jianke Zhu, Jiayi Feng, Jin Gao, Jin Young Choi, Jingjing Xiao, Ji-Wan Kim, Jiyeoup Jeong, João F. Henriques, Jochen Lang, Jongwon Choi, Jose M. Martinez, Junliang Xing, Junyu Gao, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Krystian Mikolajczyk, Lei Qin, Lijun Wang, Longyin Wen, Luca Bertinetto, Madan Kumar Rapuru, Mahdieh Poostchi, Mario Maresca, Martin Danelljan, Matthias Mueller, Mengdan Zhang, Michael Arens, Michel Valstar, Ming Tang, Mooyeol Baek, Muhammad Haris Khan, Naiyan Wang, Nana Fan, Noor Al-Shakarji, Ondrej Miksik, Osman Akin, Payman Moallem, Pedro Senna, Philip H. S. Torr, Pong C. Yuen, Qingming Huang, Rafael Martin-Nieto, Rengarajan Pelapur, Richard Bowden, Robert Laganière, Rustam Stolkin, Ryan Walsh, Sebastian B. Krah, Shengkun Li, Shengping Zhang, Shizeng Yao, Simon Hadfield, Simone Melzi, Siwei Lyu, Siyi Li, Stefan Becker, Stuart Golodetz, Sumithra Kakanuru, Sunglok Choi, Tao Hu, Thomas Mauthner, Tianzhu Zhang, Tony Pridmore, Vincenzo Santopietro, Weiming Hu, Wenbo Li, Wolfgang Hübner, Xiangyuan Lan, Xiaomeng Wang, Xin Li, Yang Li, Yiannis Demiris, Yifan Wang, Yuankai Qi, Zejian Yuan, Zexiong Cai, Zhan Xu, Zhenyu He, Zhizhen Chi

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

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Abstract

The Visual Object Tracking challenge VOT2016 aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance. Results of 70 trackers are presented, with a large number of trackers being published at major computer vision conferences and journals in the recent years. The number of tested state-of-the-art trackers makes the VOT 2016 the largest and most challenging benchmark on short-term tracking to date. For each participating tracker, a short description is provided in the Appendix. The VOT2016 goes beyond its predecessors by (i) introducing a new semi-automatic ground truth bounding box annotation methodology and (ii) extending the evaluation system with the no-reset experiment. The dataset, the evaluation kit as well as the results are publicly available at the challenge website (http://votchallenge.net).

Original language	English (US)
Title of host publication	Computer Vision – ECCV 2016 Workshops
Publisher	Springer International Publishing
Pages	777-823
Number of pages	47
ISBN (Print)	9783319488806
DOIs	https://doi.org/10.1007/978-3-319-48881-3_54
State	Published - Nov 2 2016

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10.1007/978-3-319-48881-3_54

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Kristan, M., Leonardis, A., Matas, J., Felsberg, M., Pflugfelder, R., Čehovin, L., Vojír̃, T., Häger, G., Lukežič, A., Fernández, G., Gupta, A., Petrosino, A., Memarmoghadam, A., Garcia-Martin, A., Solís Montero, A., Vedaldi, A., Robinson, A., Ma, A. J., Varfolomieiev, A., ... Chi, Z. (2016). The Visual Object Tracking VOT2016 Challenge Results. In Computer Vision – ECCV 2016 Workshops (pp. 777-823). Springer International Publishing. https://doi.org/10.1007/978-3-319-48881-3_54

@inproceedings{1d9d2d603d2642ca80b065c65bc9205d,

title = "The Visual Object Tracking VOT2016 Challenge Results",

abstract = "The Visual Object Tracking challenge VOT2016 aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance. Results of 70 trackers are presented, with a large number of trackers being published at major computer vision conferences and journals in the recent years. The number of tested state-of-the-art trackers makes the VOT 2016 the largest and most challenging benchmark on short-term tracking to date. For each participating tracker, a short description is provided in the Appendix. The VOT2016 goes beyond its predecessors by (i) introducing a new semi-automatic ground truth bounding box annotation methodology and (ii) extending the evaluation system with the no-reset experiment. The dataset, the evaluation kit as well as 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 Luka {\v C}ehovin and Tom{\'a}{\v s} Voj{\'i}{\~r} and Gustav H{\"a}ger and Alan Luke{\v z}i{\v c} and Gustavo Fern{\'a}ndez and Abhinav Gupta and Alfredo Petrosino and Alireza Memarmoghadam and Alvaro Garcia-Martin and {Sol{\'i}s Montero}, Andr{\'e}s and Andrea Vedaldi and Andreas Robinson and Ma, {Andy J.} and Anton Varfolomieiev and Aydin Alatan and Aykut Erdem and Bernard Ghanem and Bin Liu and Bohyung Han and Brais Martinez and Chang-Ming Chang and Changsheng Xu and Chong Sun and Daijin Kim and Dapeng Chen and Dawei Du and Deepak Mishra and Dit-Yan Yeung and Erhan Gundogdu and Erkut Erdem and Fahad Khan and Fatih Porikli and Fei Zhao and Filiz Bunyak and Francesco Battistone and Gao Zhu and Giorgio Roffo and Subrahmanyam, {Gorthi R. K. Sai} and Guilherme Bastos and Guna Seetharaman and Henry Medeiros and Hongdong Li and Honggang Qi and Horst Bischof and Horst Possegger and Huchuan Lu and Hyemin Lee and Hyeonseob Nam and Chang, {Hyung Jin} and Isabela Drummond and Jack Valmadre and Jae-chan Jeong and Jae-il Cho and Jae-Yeong Lee and Jianke Zhu and Jiayi Feng and Jin Gao and Choi, {Jin Young} and Jingjing Xiao and Ji-Wan Kim and Jiyeoup Jeong and Henriques, {Jo{\~a}o F.} and Jochen Lang and Jongwon Choi and Martinez, {Jose M.} and Junliang Xing and Junyu Gao and Kannappan Palaniappan and Karel Lebeda and Ke Gao and Krystian Mikolajczyk and Lei Qin and Lijun Wang and Longyin Wen and Luca Bertinetto and Rapuru, {Madan Kumar} and Mahdieh Poostchi and Mario Maresca and Martin Danelljan and Matthias Mueller and Mengdan Zhang and Michael Arens and Michel Valstar and Ming Tang and Mooyeol Baek and Khan, {Muhammad Haris} and Naiyan Wang and Nana Fan and Noor Al-Shakarji and Ondrej Miksik and Osman Akin and Payman Moallem and Pedro Senna and Torr, {Philip H. S.} and Yuen, {Pong C.} and Qingming Huang and Rafael Martin-Nieto and Rengarajan Pelapur and Richard Bowden and Robert Lagani{\`e}re and Rustam Stolkin and Ryan Walsh and Krah, {Sebastian B.} and Shengkun Li and Shengping Zhang and Shizeng Yao and Simon Hadfield and Simone Melzi and Siwei Lyu and Siyi Li and Stefan Becker and Stuart Golodetz and Sumithra Kakanuru and Sunglok Choi and Tao Hu and Thomas Mauthner and Tianzhu Zhang and Tony Pridmore and Vincenzo Santopietro and Weiming Hu and Wenbo Li and Wolfgang H{\"u}bner and Xiangyuan Lan and Xiaomeng Wang and Xin Li and Yang Li and Yiannis Demiris and Yifan Wang and Yuankai Qi and Zejian Yuan and Zexiong Cai and Zhan Xu and Zhenyu He and Zhizhen Chi",

note = "KAUST Repository Item: Exported on 2020-10-01 Acknowledgements: This work was supported in part by the following research programs and projects: Slovenian research agency research programs P2-0214, P2-0094, Slovenian research agency projects J2-4284, J2-3607, J2-2221 and European Union seventh framework programme under grant agreement no 257906. Ji{\v r}i Matas and Tom{\'a}{\v s} Voj{\'i}{\v r} were supported by CTU Project SGS13/142/OHK3/2T/13 and by the Technology Agency of the Czech Republic project TE01020415 (V3C – Visual Computing Competence Center). Michael Felsberg and Gustav H{\"a}ger were supported by the Wallenberg Autonomous Systems Program WASP, the Swedish Foundation for Strategic Research through the project CUAS, and the Swedish Research Council trough the project EMC2. Gustavo Fern{\'a}ndez and Roman Pflugfelder were supported by the research program Mobile Vision with funding from the Austrian Institute of Technology. Some experiments where run on GPUs donated by NVIDIA.",

year = "2016",

month = nov,

day = "2",

doi = "10.1007/978-3-319-48881-3_54",

language = "English (US)",

isbn = "9783319488806",

pages = "777--823",

booktitle = "Computer Vision – ECCV 2016 Workshops",

publisher = "Springer International Publishing",

}

Kristan, M, Leonardis, A, Matas, J, Felsberg, M, Pflugfelder, R, Čehovin, L, Vojír̃, T, Häger, G, Lukežič, A, Fernández, G, Gupta, A, Petrosino, A, Memarmoghadam, A, Garcia-Martin, A, Solís Montero, A, Vedaldi, A, Robinson, A, Ma, AJ, Varfolomieiev, A, Alatan, A, Erdem, A, Ghanem, B, Liu, B, Han, B, Martinez, B, Chang, C-M, Xu, C, Sun, C, Kim, D, Chen, D, Du, D, Mishra, D, Yeung, D-Y, Gundogdu, E, Erdem, E, Khan, F, Porikli, F, Zhao, F, Bunyak, F, Battistone, F, Zhu, G, Roffo, G, Subrahmanyam, GRKS, Bastos, G, Seetharaman, G, Medeiros, H, Li, H, Qi, H, Bischof, H, Possegger, H, Lu, H, Lee, H, Nam, H, Chang, HJ, Drummond, I, Valmadre, J, Jeong, J, Cho, J, Lee, J-Y, Zhu, J, Feng, J, Gao, J, Choi, JY, Xiao, J, Kim, J-W, Jeong, J, Henriques, JF, Lang, J, Choi, J, Martinez, JM, Xing, J, Gao, J, Palaniappan, K, Lebeda, K, Gao, K, Mikolajczyk, K, Qin, L, Wang, L, Wen, L, Bertinetto, L, Rapuru, MK, Poostchi, M, Maresca, M, Danelljan, M, Mueller, M, Zhang, M, Arens, M, Valstar, M, Tang, M, Baek, M, Khan, MH, Wang, N, Fan, N, Al-Shakarji, N, Miksik, O, Akin, O, Moallem, P, Senna, P, Torr, PHS, Yuen, PC, Huang, Q, Martin-Nieto, R, Pelapur, R, Bowden, R, Laganière, R, Stolkin, R, Walsh, R, Krah, SB, Li, S, Zhang, S, Yao, S, Hadfield, S, Melzi, S, Lyu, S, Li, S, Becker, S, Golodetz, S, Kakanuru, S, Choi, S, Hu, T, Mauthner, T, Zhang, T, Pridmore, T, Santopietro, V, Hu, W, Li, W, Hübner, W, Lan, X, Wang, X, Li, X, Li, Y, Demiris, Y, Wang, Y, Qi, Y, Yuan, Z, Cai, Z, Xu, Z, He, Z & Chi, Z 2016, The Visual Object Tracking VOT2016 Challenge Results. in Computer Vision – ECCV 2016 Workshops. Springer International Publishing, pp. 777-823. https://doi.org/10.1007/978-3-319-48881-3_54

TY - GEN

T1 - The Visual Object Tracking VOT2016 Challenge Results

AU - Kristan, Matej

AU - Leonardis, Aleš

AU - Matas, Jiři

AU - Felsberg, Michael

AU - Pflugfelder, Roman

AU - Čehovin, Luka

AU - Vojír̃, Tomáš

AU - Häger, Gustav

AU - Lukežič, Alan

AU - Fernández, Gustavo

AU - Gupta, Abhinav

AU - Petrosino, Alfredo

AU - Memarmoghadam, Alireza

AU - Garcia-Martin, Alvaro

AU - Solís Montero, Andrés

AU - Vedaldi, Andrea

AU - Robinson, Andreas

AU - Ma, Andy J.

AU - Varfolomieiev, Anton

AU - Alatan, Aydin

AU - Erdem, Aykut

AU - Ghanem, Bernard

AU - Liu, Bin

AU - Han, Bohyung

AU - Martinez, Brais

AU - Chang, Chang-Ming

AU - Xu, Changsheng

AU - Sun, Chong

AU - Kim, Daijin

AU - Chen, Dapeng

AU - Du, Dawei

AU - Mishra, Deepak

AU - Yeung, Dit-Yan

AU - Gundogdu, Erhan

AU - Erdem, Erkut

AU - Khan, Fahad

AU - Porikli, Fatih

AU - Zhao, Fei

AU - Bunyak, Filiz

AU - Battistone, Francesco

AU - Zhu, Gao

AU - Roffo, Giorgio

AU - Subrahmanyam, Gorthi R. K. Sai

AU - Bastos, Guilherme

AU - Seetharaman, Guna

AU - Medeiros, Henry

AU - Li, Hongdong

AU - Qi, Honggang

AU - Bischof, Horst

AU - Possegger, Horst

AU - Lu, Huchuan

AU - Lee, Hyemin

AU - Nam, Hyeonseob

AU - Chang, Hyung Jin

AU - Drummond, Isabela

AU - Valmadre, Jack

AU - Jeong, Jae-chan

AU - Cho, Jae-il

AU - Lee, Jae-Yeong

AU - Zhu, Jianke

AU - Feng, Jiayi

AU - Gao, Jin

AU - Choi, Jin Young

AU - Xiao, Jingjing

AU - Kim, Ji-Wan

AU - Jeong, Jiyeoup

AU - Henriques, João F.

AU - Lang, Jochen

AU - Choi, Jongwon

AU - Martinez, Jose M.

AU - Xing, Junliang

AU - Gao, Junyu

AU - Palaniappan, Kannappan

AU - Lebeda, Karel

AU - Gao, Ke

AU - Mikolajczyk, Krystian

AU - Qin, Lei

AU - Wang, Lijun

AU - Wen, Longyin

AU - Bertinetto, Luca

AU - Rapuru, Madan Kumar

AU - Poostchi, Mahdieh

AU - Maresca, Mario

AU - Danelljan, Martin

AU - Mueller, Matthias

AU - Zhang, Mengdan

AU - Arens, Michael

AU - Valstar, Michel

AU - Tang, Ming

AU - Baek, Mooyeol

AU - Khan, Muhammad Haris

AU - Wang, Naiyan

AU - Fan, Nana

AU - Al-Shakarji, Noor

AU - Miksik, Ondrej

AU - Akin, Osman

AU - Moallem, Payman

AU - Senna, Pedro

AU - Torr, Philip H. S.

AU - Yuen, Pong C.

AU - Huang, Qingming

AU - Martin-Nieto, Rafael

AU - Pelapur, Rengarajan

AU - Bowden, Richard

AU - Laganière, Robert

AU - Stolkin, Rustam

AU - Walsh, Ryan

AU - Krah, Sebastian B.

AU - Li, Shengkun

AU - Zhang, Shengping

AU - Yao, Shizeng

AU - Hadfield, Simon

AU - Melzi, Simone

AU - Lyu, Siwei

AU - Li, Siyi

AU - Becker, Stefan

AU - Golodetz, Stuart

AU - Kakanuru, Sumithra

AU - Choi, Sunglok

AU - Hu, Tao

AU - Mauthner, Thomas

AU - Zhang, Tianzhu

AU - Pridmore, Tony

AU - Santopietro, Vincenzo

AU - Hu, Weiming

AU - Li, Wenbo

AU - Hübner, Wolfgang

AU - Lan, Xiangyuan

AU - Wang, Xiaomeng

AU - Li, Xin

AU - Li, Yang

AU - Demiris, Yiannis

AU - Wang, Yifan

AU - Qi, Yuankai

AU - Yuan, Zejian

AU - Cai, Zexiong

AU - Xu, Zhan

AU - He, Zhenyu

AU - Chi, Zhizhen

N1 - KAUST Repository Item: Exported on 2020-10-01 Acknowledgements: This work was supported in part by the following research programs and projects: Slovenian research agency research programs P2-0214, P2-0094, Slovenian research agency projects J2-4284, J2-3607, J2-2221 and European Union seventh framework programme under grant agreement no 257906. Jiři Matas and Tomáš Vojíř were supported by CTU Project SGS13/142/OHK3/2T/13 and by the Technology Agency of the Czech Republic project TE01020415 (V3C – Visual Computing Competence Center). Michael Felsberg and Gustav Häger were supported by the Wallenberg Autonomous Systems Program WASP, the Swedish Foundation for Strategic Research through the project CUAS, and the Swedish Research Council trough the project EMC2. Gustavo Fernández and Roman Pflugfelder were supported by the research program Mobile Vision with funding from the Austrian Institute of Technology. Some experiments where run on GPUs donated by NVIDIA.

PY - 2016/11/2

Y1 - 2016/11/2

N2 - The Visual Object Tracking challenge VOT2016 aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance. Results of 70 trackers are presented, with a large number of trackers being published at major computer vision conferences and journals in the recent years. The number of tested state-of-the-art trackers makes the VOT 2016 the largest and most challenging benchmark on short-term tracking to date. For each participating tracker, a short description is provided in the Appendix. The VOT2016 goes beyond its predecessors by (i) introducing a new semi-automatic ground truth bounding box annotation methodology and (ii) extending the evaluation system with the no-reset experiment. The dataset, the evaluation kit as well as the results are publicly available at the challenge website (http://votchallenge.net).

AB - The Visual Object Tracking challenge VOT2016 aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance. Results of 70 trackers are presented, with a large number of trackers being published at major computer vision conferences and journals in the recent years. The number of tested state-of-the-art trackers makes the VOT 2016 the largest and most challenging benchmark on short-term tracking to date. For each participating tracker, a short description is provided in the Appendix. The VOT2016 goes beyond its predecessors by (i) introducing a new semi-automatic ground truth bounding box annotation methodology and (ii) extending the evaluation system with the no-reset experiment. The dataset, the evaluation kit as well as the results are publicly available at the challenge website (http://votchallenge.net).

UR - http://hdl.handle.net/10754/622260

UR - http://link.springer.com/chapter/10.1007%2F978-3-319-48881-3_54

UR - http://www.scopus.com/inward/record.url?scp=84996899169&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-48881-3_54

DO - 10.1007/978-3-319-48881-3_54

M3 - Conference contribution

SN - 9783319488806

SP - 777

EP - 823

BT - Computer Vision – ECCV 2016 Workshops

PB - Springer International Publishing

ER -

The Visual Object Tracking VOT2016 Challenge Results

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