The visual object tracking VOT2016 challenge results

Matej Kristan; Aleš Leonardis; Jiři Matas; Michael Felsberg; Roman Pflugfelder; Luka Čehovin; Tomáš Vojír; 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 Chi 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 Vojír, 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 Chi 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

^*Corresponding author for this work

Department of Computer Science

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

960 Citations (Scopus)

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
Title of host publication	Computer Vision – ECCV 2016 Workshops, Proceedings
Editors	Herve Jegou, Gang Hua
Publisher	Springer Verlag
Pages	777-823
Number of pages	47
ISBN (Print)	9783319488806
DOIs	https://doi.org/10.1007/978-3-319-48881-3_54
Publication status	Published - 2016
Event	14th European Conference on Computer Vision, ECCV 2016 - Amsterdam, Netherlands Duration: 8 Oct 2016 → 16 Oct 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9914 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	14th European Conference on Computer Vision, ECCV 2016
Country/Territory	Netherlands
City	Amsterdam
Period	8/10/16 → 16/10/16

Scopus Subject Areas

Theoretical Computer Science
Computer Science(all)

User-Defined Keywords

Performance evaluation
Short-term single-object trackers
VOT

Access to Document

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

Cite this

Kristan, M., Leonardis, A., Matas, J., Felsberg, M., Pflugfelder, R., Čehovin, L., Vojír, T., Häger, G., Lukežič, A., Fernández, G., Gupta, A., Petrosino, A., Memarmoghadam, A., Martin, A. G., Montero, A. S., Vedaldi, A., Robinson, A., Ma, A. J., Varfolomieiev, A., ... Chi, Z. (2016). The visual object tracking VOT2016 challenge results. In H. Jegou, & G. Hua (Eds.), Computer Vision – ECCV 2016 Workshops, Proceedings (pp. 777-823). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9914 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-48881-3_54

@inproceedings{15a4baaf6cec4de9856b7a700f25ad1b,

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).",

keywords = "Performance evaluation, Short-term single-object trackers, VOT",

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 Martin, {Alvaro Garcia} and Montero, {Andr{\'e}s Sol{\'i}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, {Chang Ming} and Changsheng Xu and Chong Sun and Daijin Kim and Dapeng Chen and Dawei Du and Deepak Mishra and Yeung, {Dit Yan} 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 {Sai Subrahmanyam}, {Gorthi R.K.} 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 Jeong, {Jae Chan} and Cho, {Jae Il} and Lee, {Jae Yeong} and Jianke Zhu and Jiayi Feng and Jin Gao and Choi, {Jin Young} and Jingjing Xiao and Kim, {Ji Wan} 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 Chi} and Qingming Huang and Nieto, {Rafael Martin} 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 = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.; 14th European Conference on Computer Vision, ECCV 2016 ; Conference date: 08-10-2016 Through 16-10-2016",

year = "2016",

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

language = "English",

isbn = "9783319488806",

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

publisher = "Springer Verlag",

pages = "777--823",

editor = "Herve Jegou and Gang Hua",

booktitle = "Computer Vision – ECCV 2016 Workshops, Proceedings",

address = "Germany",

}

Kristan, M, Leonardis, A, Matas, J, Felsberg, M, Pflugfelder, R, Čehovin, L, Vojír, T, Häger, G, Lukežič, A, Fernández, G, Gupta, A, Petrosino, A, Memarmoghadam, A, Martin, AG, Montero, AS, Vedaldi, A, Robinson, A, Ma, AJ, Varfolomieiev, A, Alatan, A, Erdem, A, Ghanem, B, Liu, B, Han, B, Martinez, B, Chang, CM, Xu, C, Sun, C, Kim, D, Chen, D, Du, D, Mishra, D, Yeung, DY, Gundogdu, E, Erdem, E, Khan, F, Porikli, F, Zhao, F, Bunyak, F, Battistone, F, Zhu, G, Roffo, G, Sai Subrahmanyam, GRK, 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, JC, Cho, JI, Lee, JY, Zhu, J, Feng, J, Gao, J, Choi, JY, Xiao, J, Kim, JW, 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, Nieto, RM, 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 H Jegou & G Hua (eds), Computer Vision – ECCV 2016 Workshops, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9914 LNCS, Springer Verlag, pp. 777-823, 14th European Conference on Computer Vision, ECCV 2016, Amsterdam, Netherlands, 8/10/16. https://doi.org/10.1007/978-3-319-48881-3_54

The visual object tracking VOT2016 challenge results. / Kristan, Matej; Leonardis, Aleš; Matas, Jiři et al.
Computer Vision – ECCV 2016 Workshops, Proceedings. ed. / Herve Jegou; Gang Hua. Springer Verlag, 2016. p. 777-823 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9914 LNCS).

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

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 - Vojír, Tomáš

AU - Häger, Gustav

AU - Lukežič, Alan

AU - Fernández, Gustavo

AU - Gupta, Abhinav

AU - Petrosino, Alfredo

AU - Memarmoghadam, Alireza

AU - Martin, Alvaro Garcia

AU - Montero, Andrés Solís

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 - Sai Subrahmanyam, Gorthi R.K.

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 Chi

AU - Huang, Qingming

AU - Nieto, Rafael Martin

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

PY - 2016

Y1 - 2016

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).

KW - Performance evaluation

KW - Short-term single-object trackers

KW - VOT

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 proceeding

AN - SCOPUS:84996899169

SN - 9783319488806

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

SP - 777

EP - 823

BT - Computer Vision – ECCV 2016 Workshops, Proceedings

A2 - Jegou, Herve

A2 - Hua, Gang

PB - Springer Verlag

T2 - 14th European Conference on Computer Vision, ECCV 2016

Y2 - 8 October 2016 through 16 October 2016

ER -

Kristan M, Leonardis A, Matas J, Felsberg M, Pflugfelder R, Čehovin L et al. The visual object tracking VOT2016 challenge results. In Jegou H, Hua G, editors, Computer Vision – ECCV 2016 Workshops, Proceedings. Springer Verlag. 2016. p. 777-823. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-48881-3_54

The visual object tracking VOT2016 challenge results

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