The thermal infrared visual object tracking VOT-TIR2016 challenge results

Michael Felsberg; Matej Kristan; Jiři Matas; Aleš Leonardis; Roman Pflugfelder; Gustav Häger; Amanda Berg; Abdelrahman Eldesokey; Jörgen Ahlberg; Luka Čehovin; Tomáš Vojír; Alan Lukežič; Gustavo Fernández; Alfredo Petrosino; Alvaro Garcia Martin; Andrés Solís Montero; Anton Varfolomieiev; Aykut Erdem; Bohyung Han; Chang Ming Chang; Dawei Du; Erkut Erdem; Fahad Shahbaz Khan; Fatih Porikli; Fei Zhao; Filiz Bunyak; Francesco Battistone; Gao Zhu; Guna Seetharaman; Hongdong Li; Honggang Qi; Horst Bischof; Horst Possegger; Hyeonseob Nam; Jack Valmadre; Jianke Zhu; Jiayi Feng; Jochen Lang; Jose M. Martinez; Kannappan Palaniappan; Karel Lebeda; Ke Gao; Krystian Mikolajczyk; Longyin Wen; Luca Bertinetto; Mahdieh Poostchi; Mario Maresca; Martin Danelljan; Michael Arens; Ming Tang; Mooyeol Baek; Nana Fan; Noor Al Shakarji; Ondrej Miksik; Osman Akin; Philip H.S. Torr; Qingming Huang; Rafael Martin-Nieto; Rengarajan Pelapur; Richard Bowden; Robert Laganière; Sebastian B. Krah; Shengkun Li; Shizeng Yao; Simon Hadfield; Siwei Lyu; Stefan Becker; Stuart Golodetz; Tao Hu; Thomas Mauthner; Vincenzo Santopietro; Wenbo Li; Wolfgang Hübner; Xin Li; Yang Li; Zhan Xu; Zhenyu He

doi:10.1007/978-3-319-48881-3_55

The thermal infrared visual object tracking VOT-TIR2016 challenge results

Michael Felsberg^*
, Matej Kristan
, Jiři Matas
, Aleš Leonardis
, Roman Pflugfelder
, Gustav Häger
, Amanda Berg
, Abdelrahman Eldesokey
, Jörgen Ahlberg
, Luka Čehovin
, Tomáš Vojír
, Alan Lukežič
, Gustavo Fernández
, Alfredo Petrosino
, Alvaro Garcia Martin
, Andrés Solís Montero
, Anton Varfolomieiev
, Aykut Erdem
, Bohyung Han
, Chang Ming Chang

Dawei Du, Erkut Erdem, Fahad Shahbaz Khan, Fatih Porikli, Fei Zhao, Filiz Bunyak, Francesco Battistone, Gao Zhu, Guna Seetharaman, Hongdong Li, Honggang Qi, Horst Bischof, Horst Possegger, Hyeonseob Nam, Jack Valmadre, Jianke Zhu, Jiayi Feng, Jochen Lang, Jose M. Martinez, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Krystian Mikolajczyk, Longyin Wen, Luca Bertinetto, Mahdieh Poostchi, Mario Maresca, Martin Danelljan, Michael Arens, Ming Tang, Mooyeol Baek, Nana Fan, Noor Al Shakarji, Ondrej Miksik, Osman Akin, Philip H.S. Torr, Qingming Huang, Rafael Martin-Nieto, Rengarajan Pelapur, Richard Bowden, Robert Laganière, Sebastian B. Krah, Shengkun Li, Shizeng Yao, Simon Hadfield, Siwei Lyu, Stefan Becker, Stuart Golodetz, Tao Hu, Thomas Mauthner, Vincenzo Santopietro, Wenbo Li, Wolfgang Hübner, Xin Li, Yang Li, Zhan Xu, Zhenyu He

^*此作品的通讯作者

Linköping University
University of Ljubljana
Czech Technical University in Prague
University of Birmingham
Austrian Institute of Technology
Termisk Systemteknik i Sverige AB
University of Naples Parthenope
Universidad Autónoma de Madrid
University of Ottawa
National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"
Hacettepe University
Pohang University of Science and Technology
SUNY Albany
Chinese Academy of Sciences
Australian Centre for Robotic Vision
Australian National University
CSIRO
University of Missouri
Naval Research Laboratory
Graz University of Technology
NAVER Corporation
University of Oxford
Zhejiang University
University of Surrey
Imperial College London
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation
Harbin Institute of Technology
Lehigh University

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

56 引用（Scopus）

摘要

The Thermal Infrared Visual Object Tracking challenge 2016, VOT-TIR2016, aims at comparing short-term single-object visual trackers that work on thermal infrared (TIR) sequences and do not apply pre-learned models of object appearance. VOT-TIR2016 is the second benchmark on short-term tracking in TIR sequences. Results of 24 trackers are presented. For each participating tracker, a short description is provided in the appendix. The VOT-TIR2016 challenge is similar to the 2015 challenge, the main difference is the introduction of new, more difficult sequences into the dataset. Furthermore, VOT-TIR2016 evaluation adopted the improvements regarding overlap calculation in VOT2016. Compared to VOT-TIR2015, a significant general improvement of results has been observed, which partly compensate for the more difficult sequences. The dataset, the evaluation kit, as well as the results are publicly available at the challenge website.

源语言	英语
主期刊名	Computer Vision – ECCV 2016 Workshops, Proceedings
编辑	Gang Hua, Herve Jegou
出版商	Springer Verlag
页	824-849
页数	26
ISBN（印刷版）	9783319488806
DOI	https://doi.org/10.1007/978-3-319-48881-3_55
出版状态	已出版 - 2016
已对外发布	是
活动	Computer Vision - ECCV 2016 Workshops, Proceedings - Amsterdam, 荷兰期限: 8 10月 2016 → 16 10月 2016

出版系列

姓名	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
卷	9914 LNCS
ISSN（印刷版）	0302-9743
ISSN（电子版）	1611-3349

会议

会议	Computer Vision - ECCV 2016 Workshops, Proceedings
国家/地区	荷兰
市	Amsterdam
时期	8/10/16 → 16/10/16

访问文件

10.1007/978-3-319-48881-3_55

其它文件与链接

链接到 Scopus 的出版物

引用此

Felsberg, M., Kristan, M., Matas, J., Leonardis, A., Pflugfelder, R., Häger, G., Berg, A., Eldesokey, A., Ahlberg, J., Čehovin, L., Vojír, T., Lukežič, A., Fernández, G., Petrosino, A., Martin, A. G., Montero, A. S., Varfolomieiev, A., Erdem, A., Han, B., ... He, Z. (2016). The thermal infrared visual object tracking VOT-TIR2016 challenge results. 在 G. Hua, & H. Jegou (编辑), Computer Vision – ECCV 2016 Workshops, Proceedings (页码 824-849). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 9914 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-48881-3_55

Felsberg, Michael ; Kristan, Matej ; Matas, Jiři 等. / The thermal infrared visual object tracking VOT-TIR2016 challenge results. Computer Vision – ECCV 2016 Workshops, Proceedings. 编辑 / Gang Hua ; Herve Jegou. Springer Verlag, 2016. 页码 824-849 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{aa2d099428b44a4f8e9ad6688de4a2fa,

title = "The thermal infrared visual object tracking VOT-TIR2016 challenge results",

abstract = "The Thermal Infrared Visual Object Tracking challenge 2016, VOT-TIR2016, aims at comparing short-term single-object visual trackers that work on thermal infrared (TIR) sequences and do not apply pre-learned models of object appearance. VOT-TIR2016 is the second benchmark on short-term tracking in TIR sequences. Results of 24 trackers are presented. For each participating tracker, a short description is provided in the appendix. The VOT-TIR2016 challenge is similar to the 2015 challenge, the main difference is the introduction of new, more difficult sequences into the dataset. Furthermore, VOT-TIR2016 evaluation adopted the improvements regarding overlap calculation in VOT2016. Compared to VOT-TIR2015, a significant general improvement of results has been observed, which partly compensate for the more difficult sequences. The dataset, the evaluation kit, as well as the results are publicly available at the challenge website.",

keywords = "Object tracking, Performance evaluation, Thermal IR, VOT",

author = "Michael Felsberg and Matej Kristan and Ji{\v r}i Matas and Ale{\v s} Leonardis and Roman Pflugfelder and Gustav H{\"a}ger and Amanda Berg and Abdelrahman Eldesokey and J{\"o}rgen Ahlberg and Luka {\v C}ehovin and Tom{\'a}{\v s} Voj{\'i}r and Alan Luke{\v z}i{\v c} and Gustavo Fern{\'a}ndez and Alfredo Petrosino and Martin, \{Alvaro Garcia\} and Montero, \{Andr{\'e}s Sol{\'i}s\} and Anton Varfolomieiev and Aykut Erdem and Bohyung Han and Chang, \{Chang Ming\} and Dawei Du and Erkut Erdem and Khan, \{Fahad Shahbaz\} and Fatih Porikli and Fei Zhao and Filiz Bunyak and Francesco Battistone and Gao Zhu and Guna Seetharaman and Hongdong Li and Honggang Qi and Horst Bischof and Horst Possegger and Hyeonseob Nam and Jack Valmadre and Jianke Zhu and Jiayi Feng and Jochen Lang and Martinez, \{Jose M.\} and Kannappan Palaniappan and Karel Lebeda and Ke Gao and Krystian Mikolajczyk and Longyin Wen and Luca Bertinetto and Mahdieh Poostchi and Mario Maresca and Martin Danelljan and Michael Arens and Ming Tang and Mooyeol Baek and Nana Fan and Shakarji, \{Noor Al\} and Ondrej Miksik and Osman Akin and Torr, \{Philip H.S.\} and Qingming Huang and Rafael Martin-Nieto and Rengarajan Pelapur and Richard Bowden and Robert Lagani{\`e}re and Krah, \{Sebastian B.\} and Shengkun Li and Shizeng Yao and Simon Hadfield and Siwei Lyu and Stefan Becker and Stuart Golodetz and Tao Hu and Thomas Mauthner and Vincenzo Santopietro and Wenbo Li and Wolfgang H{\"u}bner and Xin Li and Yang Li and Zhan Xu and Zhenyu He",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; Computer Vision - ECCV 2016 Workshops, Proceedings ; Conference date: 08-10-2016 Through 16-10-2016",

year = "2016",

doi = "10.1007/978-3-319-48881-3\_55",

language = "英语",

isbn = "9783319488806",

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

publisher = "Springer Verlag",

pages = "824--849",

editor = "Gang Hua and Herve Jegou",

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

address = "德国",

}

Felsberg, M, Kristan, M, Matas, J, Leonardis, A, Pflugfelder, R, Häger, G, Berg, A, Eldesokey, A, Ahlberg, J, Čehovin, L, Vojír, T, Lukežič, A, Fernández, G, Petrosino, A, Martin, AG, Montero, AS, Varfolomieiev, A, Erdem, A, Han, B, Chang, CM, Du, D, Erdem, E, Khan, FS, Porikli, F, Zhao, F, Bunyak, F, Battistone, F, Zhu, G, Seetharaman, G, Li, H, Qi, H, Bischof, H, Possegger, H, Nam, H, Valmadre, J, Zhu, J, Feng, J, Lang, J, Martinez, JM, Palaniappan, K, Lebeda, K, Gao, K, Mikolajczyk, K, Wen, L, Bertinetto, L, Poostchi, M, Maresca, M, Danelljan, M, Arens, M, Tang, M, Baek, M, Fan, N, Shakarji, NA, Miksik, O, Akin, O, Torr, PHS, Huang, Q, Martin-Nieto, R, Pelapur, R, Bowden, R, Laganière, R, Krah, SB, Li, S, Yao, S, Hadfield, S, Lyu, S, Becker, S, Golodetz, S, Hu, T, Mauthner, T, Santopietro, V, Li, W, Hübner, W, Li, X, Li, Y, Xu, Z & He, Z 2016, The thermal infrared visual object tracking VOT-TIR2016 challenge results. 在 G Hua & H Jegou (编辑), Computer Vision – ECCV 2016 Workshops, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 卷 9914 LNCS, Springer Verlag, 页码 824-849, Computer Vision - ECCV 2016 Workshops, Proceedings, Amsterdam, 荷兰, 8/10/16. https://doi.org/10.1007/978-3-319-48881-3_55

The thermal infrared visual object tracking VOT-TIR2016 challenge results. / Felsberg, Michael; Kristan, Matej; Matas, Jiři 等.
Computer Vision – ECCV 2016 Workshops, Proceedings. 编辑 / Gang Hua; Herve Jegou. Springer Verlag, 2016. 页码 824-849 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 9914 LNCS).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - The thermal infrared visual object tracking VOT-TIR2016 challenge results

AU - Felsberg, Michael

AU - Kristan, Matej

AU - Matas, Jiři

AU - Leonardis, Aleš

AU - Pflugfelder, Roman

AU - Häger, Gustav

AU - Berg, Amanda

AU - Eldesokey, Abdelrahman

AU - Ahlberg, Jörgen

AU - Čehovin, Luka

AU - Vojír, Tomáš

AU - Lukežič, Alan

AU - Fernández, Gustavo

AU - Petrosino, Alfredo

AU - Martin, Alvaro Garcia

AU - Montero, Andrés Solís

AU - Varfolomieiev, Anton

AU - Erdem, Aykut

AU - Han, Bohyung

AU - Chang, Chang Ming

AU - Du, Dawei

AU - Erdem, Erkut

AU - Khan, Fahad Shahbaz

AU - Porikli, Fatih

AU - Zhao, Fei

AU - Bunyak, Filiz

AU - Battistone, Francesco

AU - Zhu, Gao

AU - Seetharaman, Guna

AU - Li, Hongdong

AU - Qi, Honggang

AU - Bischof, Horst

AU - Possegger, Horst

AU - Nam, Hyeonseob

AU - Valmadre, Jack

AU - Zhu, Jianke

AU - Feng, Jiayi

AU - Lang, Jochen

AU - Martinez, Jose M.

AU - Palaniappan, Kannappan

AU - Lebeda, Karel

AU - Gao, Ke

AU - Mikolajczyk, Krystian

AU - Wen, Longyin

AU - Bertinetto, Luca

AU - Poostchi, Mahdieh

AU - Maresca, Mario

AU - Danelljan, Martin

AU - Arens, Michael

AU - Tang, Ming

AU - Baek, Mooyeol

AU - Fan, Nana

AU - Shakarji, Noor Al

AU - Miksik, Ondrej

AU - Akin, Osman

AU - Torr, Philip H.S.

AU - Huang, Qingming

AU - Martin-Nieto, Rafael

AU - Pelapur, Rengarajan

AU - Bowden, Richard

AU - Laganière, Robert

AU - Krah, Sebastian B.

AU - Li, Shengkun

AU - Yao, Shizeng

AU - Hadfield, Simon

AU - Lyu, Siwei

AU - Becker, Stefan

AU - Golodetz, Stuart

AU - Hu, Tao

AU - Mauthner, Thomas

AU - Santopietro, Vincenzo

AU - Li, Wenbo

AU - Hübner, Wolfgang

AU - Li, Xin

AU - Li, Yang

AU - Xu, Zhan

AU - He, Zhenyu

PY - 2016

Y1 - 2016

N2 - The Thermal Infrared Visual Object Tracking challenge 2016, VOT-TIR2016, aims at comparing short-term single-object visual trackers that work on thermal infrared (TIR) sequences and do not apply pre-learned models of object appearance. VOT-TIR2016 is the second benchmark on short-term tracking in TIR sequences. Results of 24 trackers are presented. For each participating tracker, a short description is provided in the appendix. The VOT-TIR2016 challenge is similar to the 2015 challenge, the main difference is the introduction of new, more difficult sequences into the dataset. Furthermore, VOT-TIR2016 evaluation adopted the improvements regarding overlap calculation in VOT2016. Compared to VOT-TIR2015, a significant general improvement of results has been observed, which partly compensate for the more difficult sequences. The dataset, the evaluation kit, as well as the results are publicly available at the challenge website.

AB - The Thermal Infrared Visual Object Tracking challenge 2016, VOT-TIR2016, aims at comparing short-term single-object visual trackers that work on thermal infrared (TIR) sequences and do not apply pre-learned models of object appearance. VOT-TIR2016 is the second benchmark on short-term tracking in TIR sequences. Results of 24 trackers are presented. For each participating tracker, a short description is provided in the appendix. The VOT-TIR2016 challenge is similar to the 2015 challenge, the main difference is the introduction of new, more difficult sequences into the dataset. Furthermore, VOT-TIR2016 evaluation adopted the improvements regarding overlap calculation in VOT2016. Compared to VOT-TIR2015, a significant general improvement of results has been observed, which partly compensate for the more difficult sequences. The dataset, the evaluation kit, as well as the results are publicly available at the challenge website.

KW - Object tracking

KW - Performance evaluation

KW - Thermal IR

KW - VOT

UR - https://www.scopus.com/pages/publications/84996605652

U2 - 10.1007/978-3-319-48881-3_55

DO - 10.1007/978-3-319-48881-3_55

M3 - 会议稿件

AN - SCOPUS:84996605652

SN - 9783319488806

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

SP - 824

EP - 849

BT - Computer Vision – ECCV 2016 Workshops, Proceedings

A2 - Hua, Gang

A2 - Jegou, Herve

PB - Springer Verlag

T2 - Computer Vision - ECCV 2016 Workshops, Proceedings

Y2 - 8 October 2016 through 16 October 2016

ER -

Felsberg M, Kristan M, Matas J, Leonardis A, Pflugfelder R, Häger G 等. The thermal infrared visual object tracking VOT-TIR2016 challenge results. 在 Hua G, Jegou H, 编辑, Computer Vision – ECCV 2016 Workshops, Proceedings. Springer Verlag. 2016. 页码 824-849. (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_55

The thermal infrared visual object tracking VOT-TIR2016 challenge results

摘要

出版系列

会议

访问文件

其它文件与链接

指纹

引用此