The Thermal Infrared Visual Object Tracking VOT-TIR2015 Challenge Results

Michael Felsberg; Amanda Berg; Gustav Häger; Jörgen Ahlberg; Matej Kristan; Jiri Matas; Aleš Leonardis; Luka Čehovin; Gustavo Fernández; Tomáš Vojír˜; Georg Nebehay; Roman Pflugfelder; Alan Lukežič; Alvaro Garcia-Martin; Amir Saffari; Ang Li; Andrés Solís Montero; Baojun Zhao; Cordelia Schmid; Dapeng Chen; Dawei Du; Fahad Shahbaz Khan; Fatih Porikli; Gao Zhu; Guibo Zhu; Hanqing Lu; Hilke Kieritz; Hongdong Li; Honggang Qi; Jae Chan Jeong; Jae Il Cho; Jae Yeong Lee; Jianke Zhu; Jiatong Li; Jiayi Feng; Jinqiao Wang; Ji Wan Kim; Jochen Lang; Jose M. Martinez; Kai Xue; Karteek Alahari; Liang Ma; Lipeng Ke; Longyin Wen; Luca Bertinetto; Martin Danelljan; Michael Arens; Ming Tang; Ming Ching Chang; Ondrej Miksik; Philip H.S. Torr; Rafael Martin-Nieto; Robert Laganière; Sam Hare; Siwei Lyu; Song Chun Zhu; Stefan Becker; Stephen L. Hicks; Stuart Golodetz; Sunglok Choi; Tianfu Wu; Wolfgang Hübner; Xu Zhao; Yang Hua; Yang Li; Yang Lu; Yuezun Li; Zejian Yuan; Zhibin Hong

doi:10.1109/ICCVW.2015.86

The Thermal Infrared Visual Object Tracking VOT-TIR2015 Challenge Results

Michael Felsberg
, Amanda Berg
, Gustav Häger
, Jörgen Ahlberg
, Matej Kristan
, Jiri Matas
, Aleš Leonardis
, Luka Čehovin
, Gustavo Fernández
, Tomáš Vojír˜
, Georg Nebehay
, Roman Pflugfelder
, Alan Lukežič
, Alvaro Garcia-Martin
, Amir Saffari
, Ang Li
, Andrés Solís Montero
, Baojun Zhao
, Cordelia Schmid
, Dapeng Chen

Dawei Du, Fahad Shahbaz Khan, Fatih Porikli, Gao Zhu, Guibo Zhu, Hanqing Lu, Hilke Kieritz, Hongdong Li, Honggang Qi, Jae Chan Jeong, Jae Il Cho, Jae Yeong Lee, Jianke Zhu, Jiatong Li, Jiayi Feng, Jinqiao Wang, Ji Wan Kim, Jochen Lang, Jose M. Martinez, Kai Xue, Karteek Alahari, Liang Ma, Lipeng Ke, Longyin Wen, Luca Bertinetto, Martin Danelljan, Michael Arens, Ming Tang, Ming Ching Chang, Ondrej Miksik, Philip H.S. Torr, Rafael Martin-Nieto, Robert Laganière, Sam Hare, Siwei Lyu, Song Chun Zhu, Stefan Becker, Stephen L. Hicks, Stuart Golodetz, Sunglok Choi, Tianfu Wu, Wolfgang Hübner, Xu Zhao, Yang Hua, Yang Li, Yang Lu, Yuezun Li, Zejian Yuan, Zhibin Hong

Linköping University
Termisk Systemteknik i Sverige AB
University of Ljubljana
Czech Technical University in Prague
University of Birmingham
Austrian Institute of Technology
Universidad Autónoma de Madrid
Affectv
Xi'an Jiaotong University
University of Ottawa
Beijing Institute of Technology
Institut national de recherche en informatique et en automatique
SUNY Albany
Chinese Academy of Sciences
Australian National University
CSIRO
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation
Australian Centre for Robotic Vision
Electronics and Telecommunications Research Institute
Zhejiang University
University of Technology Sydney
CAS - Institute of Automation
Harbin Engineering University
University of Oxford
Obvious Engineering
University of California

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

46 引用（Scopus）

摘要

The Thermal Infrared Visual Object Tracking challenge 2015, VOT-TIR2015, 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-TIR2015 is the first 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-TIR2015 challenge is based on the VOT2013 challenge, but introduces the following novelties: (i) the newly collected LTIR (Link - ping TIR) dataset is used, (ii) the VOT2013 attributes are adapted to TIR data, (iii) the evaluation is performed using insights gained during VOT2013 and VOT2014 and is similar to VOT2015.

源语言	英语
主期刊名	Proceedings - 2015 IEEE International Conference on Computer Vision Workshops, ICCVW 2015
出版商	Institute of Electrical and Electronics Engineers Inc.
页	639-651
页数	13
ISBN（电子版）	9781467383905
DOI	https://doi.org/10.1109/ICCVW.2015.86
出版状态	已出版 - 11 2月 2016
已对外发布	是
活动	15th IEEE International Conference on Computer Vision Workshops, ICCVW 2015 - Santiago, 智利期限: 11 12月 2015 → 18 12月 2015

出版系列

姓名	Proceedings of the IEEE International Conference on Computer Vision
卷	2015-February
ISSN（印刷版）	1550-5499

会议

会议	15th IEEE International Conference on Computer Vision Workshops, ICCVW 2015
国家/地区	智利
市	Santiago
时期	11/12/15 → 18/12/15

访问文件

10.1109/ICCVW.2015.86

其它文件与链接

链接到 Scopus 的出版物

引用此

Felsberg, M., Berg, A., Häger, G., Ahlberg, J., Kristan, M., Matas, J., Leonardis, A., Čehovin, L., Fernández, G., Vojír˜, T., Nebehay, G., Pflugfelder, R., Lukežič, A., Garcia-Martin, A., Saffari, A., Li, A., Montero, A. S., Zhao, B., Schmid, C., ... Hong, Z. (2016). The Thermal Infrared Visual Object Tracking VOT-TIR2015 Challenge Results. 在 Proceedings - 2015 IEEE International Conference on Computer Vision Workshops, ICCVW 2015 (页码 639-651). 文章 7406435 (Proceedings of the IEEE International Conference on Computer Vision; 卷 2015-February). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCVW.2015.86

Felsberg, Michael ; Berg, Amanda ; Häger, Gustav 等. / The Thermal Infrared Visual Object Tracking VOT-TIR2015 Challenge Results. Proceedings - 2015 IEEE International Conference on Computer Vision Workshops, ICCVW 2015. Institute of Electrical and Electronics Engineers Inc., 2016. 页码 639-651 (Proceedings of the IEEE International Conference on Computer Vision).

@inproceedings{095b5dfba38e4af692d922fed4b0a791,

title = "The Thermal Infrared Visual Object Tracking VOT-TIR2015 Challenge Results",

abstract = "The Thermal Infrared Visual Object Tracking challenge 2015, VOT-TIR2015, 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-TIR2015 is the first 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-TIR2015 challenge is based on the VOT2013 challenge, but introduces the following novelties: (i) the newly collected LTIR (Link - ping TIR) dataset is used, (ii) the VOT2013 attributes are adapted to TIR data, (iii) the evaluation is performed using insights gained during VOT2013 and VOT2014 and is similar to VOT2015.",

keywords = "Australia, Benchmark testing, Cameras, Object tracking, Target tracking, Visualization",

author = "Michael Felsberg and Amanda Berg and Gustav H{\"a}ger and J{\"o}rgen Ahlberg and Matej Kristan and Jiri Matas and Ale{\v s} Leonardis and Luka {\v C}ehovin and Gustavo Fern{\'a}ndez and Tom{\'a}{\v s} Voj{\'i}r˜ and Georg Nebehay and Roman Pflugfelder and Alan Luke{\v z}i{\v c} and Alvaro Garcia-Martin and Amir Saffari and Ang Li and Montero, \{Andr{\'e}s Sol{\'i}s\} and Baojun Zhao and Cordelia Schmid and Dapeng Chen and Dawei Du and Khan, \{Fahad Shahbaz\} and Fatih Porikli and Gao Zhu and Guibo Zhu and Hanqing Lu and Hilke Kieritz and Hongdong Li and Honggang Qi and Jeong, \{Jae Chan\} and Cho, \{Jae Il\} and Lee, \{Jae Yeong\} and Jianke Zhu and Jiatong Li and Jiayi Feng and Jinqiao Wang and Kim, \{Ji Wan\} and Jochen Lang and Martinez, \{Jose M.\} and Kai Xue and Karteek Alahari and Liang Ma and Lipeng Ke and Longyin Wen and Luca Bertinetto and Martin Danelljan and Michael Arens and Ming Tang and Chang, \{Ming Ching\} and Ondrej Miksik and Torr, \{Philip H.S.\} and Rafael Martin-Nieto and Robert Lagani{\`e}re and Sam Hare and Siwei Lyu and Zhu, \{Song Chun\} and Stefan Becker and Hicks, \{Stephen L.\} and Stuart Golodetz and Sunglok Choi and Tianfu Wu and Wolfgang H{\"u}bner and Xu Zhao and Yang Hua and Yang Li and Yang Lu and Yuezun Li and Zejian Yuan and Zhibin Hong",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 15th IEEE International Conference on Computer Vision Workshops, ICCVW 2015 ; Conference date: 11-12-2015 Through 18-12-2015",

year = "2016",

month = feb,

day = "11",

doi = "10.1109/ICCVW.2015.86",

language = "英语",

series = "Proceedings of the IEEE International Conference on Computer Vision",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "639--651",

booktitle = "Proceedings - 2015 IEEE International Conference on Computer Vision Workshops, ICCVW 2015",

address = "美国",

}

Felsberg, M, Berg, A, Häger, G, Ahlberg, J, Kristan, M, Matas, J, Leonardis, A, Čehovin, L, Fernández, G, Vojír˜, T, Nebehay, G, Pflugfelder, R, Lukežič, A, Garcia-Martin, A, Saffari, A, Li, A, Montero, AS, Zhao, B, Schmid, C, Chen, D, Du, D, Khan, FS, Porikli, F, Zhu, G, Zhu, G, Lu, H, Kieritz, H, Li, H, Qi, H, Jeong, JC, Cho, JI, Lee, JY, Zhu, J, Li, J, Feng, J, Wang, J, Kim, JW, Lang, J, Martinez, JM, Xue, K, Alahari, K, Ma, L, Ke, L, Wen, L, Bertinetto, L, Danelljan, M, Arens, M, Tang, M, Chang, MC, Miksik, O, Torr, PHS, Martin-Nieto, R, Laganière, R, Hare, S, Lyu, S, Zhu, SC, Becker, S, Hicks, SL, Golodetz, S, Choi, S, Wu, T, Hübner, W, Zhao, X, Hua, Y, Li, Y, Lu, Y, Li, Y, Yuan, Z & Hong, Z 2016, The Thermal Infrared Visual Object Tracking VOT-TIR2015 Challenge Results. 在 Proceedings - 2015 IEEE International Conference on Computer Vision Workshops, ICCVW 2015., 7406435, Proceedings of the IEEE International Conference on Computer Vision, 卷 2015-February, Institute of Electrical and Electronics Engineers Inc., 页码 639-651, 15th IEEE International Conference on Computer Vision Workshops, ICCVW 2015, Santiago, 智利, 11/12/15. https://doi.org/10.1109/ICCVW.2015.86

The Thermal Infrared Visual Object Tracking VOT-TIR2015 Challenge Results. / Felsberg, Michael; Berg, Amanda; Häger, Gustav 等.
Proceedings - 2015 IEEE International Conference on Computer Vision Workshops, ICCVW 2015. Institute of Electrical and Electronics Engineers Inc., 2016. 页码 639-651 7406435 (Proceedings of the IEEE International Conference on Computer Vision; 卷 2015-February).

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-TIR2015 Challenge Results

AU - Felsberg, Michael

AU - Berg, Amanda

AU - Häger, Gustav

AU - Ahlberg, Jörgen

AU - Kristan, Matej

AU - Matas, Jiri

AU - Leonardis, Aleš

AU - Čehovin, Luka

AU - Fernández, Gustavo

AU - Vojír˜, Tomáš

AU - Nebehay, Georg

AU - Pflugfelder, Roman

AU - Lukežič, Alan

AU - Garcia-Martin, Alvaro

AU - Saffari, Amir

AU - Li, Ang

AU - Montero, Andrés Solís

AU - Zhao, Baojun

AU - Schmid, Cordelia

AU - Chen, Dapeng

AU - Du, Dawei

AU - Khan, Fahad Shahbaz

AU - Porikli, Fatih

AU - Zhu, Gao

AU - Zhu, Guibo

AU - Lu, Hanqing

AU - Kieritz, Hilke

AU - Li, Hongdong

AU - Qi, Honggang

AU - Jeong, Jae Chan

AU - Cho, Jae Il

AU - Lee, Jae Yeong

AU - Zhu, Jianke

AU - Li, Jiatong

AU - Feng, Jiayi

AU - Wang, Jinqiao

AU - Kim, Ji Wan

AU - Lang, Jochen

AU - Martinez, Jose M.

AU - Xue, Kai

AU - Alahari, Karteek

AU - Ma, Liang

AU - Ke, Lipeng

AU - Wen, Longyin

AU - Bertinetto, Luca

AU - Danelljan, Martin

AU - Arens, Michael

AU - Tang, Ming

AU - Chang, Ming Ching

AU - Miksik, Ondrej

AU - Torr, Philip H.S.

AU - Martin-Nieto, Rafael

AU - Laganière, Robert

AU - Hare, Sam

AU - Lyu, Siwei

AU - Zhu, Song Chun

AU - Becker, Stefan

AU - Hicks, Stephen L.

AU - Golodetz, Stuart

AU - Choi, Sunglok

AU - Wu, Tianfu

AU - Hübner, Wolfgang

AU - Zhao, Xu

AU - Hua, Yang

AU - Li, Yang

AU - Lu, Yang

AU - Li, Yuezun

AU - Yuan, Zejian

AU - Hong, Zhibin

PY - 2016/2/11

Y1 - 2016/2/11

N2 - The Thermal Infrared Visual Object Tracking challenge 2015, VOT-TIR2015, 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-TIR2015 is the first 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-TIR2015 challenge is based on the VOT2013 challenge, but introduces the following novelties: (i) the newly collected LTIR (Link - ping TIR) dataset is used, (ii) the VOT2013 attributes are adapted to TIR data, (iii) the evaluation is performed using insights gained during VOT2013 and VOT2014 and is similar to VOT2015.

AB - The Thermal Infrared Visual Object Tracking challenge 2015, VOT-TIR2015, 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-TIR2015 is the first 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-TIR2015 challenge is based on the VOT2013 challenge, but introduces the following novelties: (i) the newly collected LTIR (Link - ping TIR) dataset is used, (ii) the VOT2013 attributes are adapted to TIR data, (iii) the evaluation is performed using insights gained during VOT2013 and VOT2014 and is similar to VOT2015.

KW - Australia

KW - Benchmark testing

KW - Cameras

KW - Object tracking

KW - Target tracking

KW - Visualization

UR - https://www.scopus.com/pages/publications/84961990752

U2 - 10.1109/ICCVW.2015.86

DO - 10.1109/ICCVW.2015.86

M3 - 会议稿件

AN - SCOPUS:84961990752

T3 - Proceedings of the IEEE International Conference on Computer Vision

SP - 639

EP - 651

BT - Proceedings - 2015 IEEE International Conference on Computer Vision Workshops, ICCVW 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 15th IEEE International Conference on Computer Vision Workshops, ICCVW 2015

Y2 - 11 December 2015 through 18 December 2015

ER -

Felsberg M, Berg A, Häger G, Ahlberg J, Kristan M, Matas J 等. The Thermal Infrared Visual Object Tracking VOT-TIR2015 Challenge Results. 在 Proceedings - 2015 IEEE International Conference on Computer Vision Workshops, ICCVW 2015. Institute of Electrical and Electronics Engineers Inc. 2016. 页码 639-651. 7406435. (Proceedings of the IEEE International Conference on Computer Vision). doi: 10.1109/ICCVW.2015.86

The Thermal Infrared Visual Object Tracking VOT-TIR2015 Challenge Results

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出版系列

会议

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