The Visual Object Tracking VOT2015 Challenge Results

Handle URI:
http://hdl.handle.net/10754/605657
Title:
The Visual Object Tracking VOT2015 Challenge Results
Authors:
Kristan, Matej; Matas, Jiri; Leonardis, Ale; Felsberg, Michael; Cehovin, Luka; Fernandez, Gustavo; Vojir, Toma; Hager, Gustav; Nebehay, Georg; Pflugfelder, Roman; Gupta, Abhinav; Bibi, Adel Aamer ( 0000-0002-6169-3918 ) ; Lukezic, Alan; Garcia-Martin, Alvaro; Saffari, Amir; Petrosino, Alfredo; Montero, Andres Solıs; Varfolomieiev, Anton; Baskurt, Atilla; Zhao, Baojun; Ghanem, Bernard ( 0000-0002-5534-587X ) ; Martinez, Brais; Lee, ByeongJu; Han, Bohyung; Wang, Chaohui; Garcia, Christophe; Zhang, Chunyuan; Schmid, Cordelia; Tao, Dacheng; Kim, Daijin; Huang, Dafei; Prokhorov, Danil; Du, Dawei; Yeung, Dit-Yan; Ribeiro, Eraldo; Khan, Fahad Shahbaz; Porikli, Fatih; Bunyak, Filiz; Zhu, Gao; Seetharaman, Guna; Kieritz, Hilke; Yau, Hing Tuen; Li, Hongdong; Qi, Honggang; Bischof, Horst; Possegger, Horst; Lee, Hyemin; Nam, Hyeonseob; Bogun, Ivan; Jeong, Jae-chan; Cho, Jae-il; Lee, Jae-Yeong; Zhu, Jianke; Shi, Jianping; Li, Jiatong; Jia, Jiaya; Feng, Jiayi; Gao, Jin; Choi, Jin Young; Kim, Ji-Wan; Lang, Jochen; Martinez, Jose M.; Choi, Jongwon; Xing, Junliang; Xue, Kai; Palaniappan, Kannappan; Lebeda, Karel; Alahari, Karteek; Gao, Ke; Yun, Kimin; Wong, Kin Hong; Luo, Lei; Ma, Liang; Ke, Lipeng; Wen, Longyin; Bertinetto, Luca; Pootschi, Mahdieh; Maresca, Mario; Danelljan, Martin; Wen, Mei; Zhang, Mengdan; Arens, Michael; Valstar, Michel; Tang, Ming; Chang, Ming-Ching; Khan, Muhammad Haris; Fan, Nana; Wang, Naiyan; Miksik, Ondrej; Torr, Philip H S; Wang, Qiang; Martin-Nieto, Rafael; Pelapur, Rengarajan; Bowden, Richard; Laganiere, Robert; Moujtahid, Salma; Hare, Sam; Hadfield, Simon; Lyu, Siwei; Li, Siyi; Zhu, Song-Chun; Becker, Stefan; Duffner, Stefan; Hicks, Stephen L; Golodetz, Stuart; Choi, Sunglok; Wu, Tianfu; Mauthner, Thomas; Pridmore, Tony; Hu, Weiming; Hubner, Wolfgang; Wang, Xiaomeng; Li, Xin; Shi, Xinchu; Zhao, Xu; Mei, Xue; Shizeng, Yao; Hua, Yang; Li, Yang; Lu, Yang; Li, Yuezun; Chen, Zhaoyun; Huang, Zehua; Chen, Zhe; Zhang, Zhe; He, Zhenyu; Hong, Zhibin
Abstract:
The Visual Object Tracking challenge 2015, VOT2015, aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance. Results of 62 trackers are presented. The number of tested trackers makes VOT 2015 the largest benchmark on short-term tracking to date. For each participating tracker, a short description is provided in the appendix. Features of the VOT2015 challenge that go beyond its VOT2014 predecessor are: (i) a new VOT2015 dataset twice as large as in VOT2014 with full annotation of targets by rotated bounding boxes and per-frame attribute, (ii) extensions of the VOT2014 evaluation methodology by introduction of a new performance measure. The dataset, the evaluation kit as well as the results are publicly available at the challenge website.
KAUST Department:
Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2015 IEEE International Conference on Computer Vision Workshop (ICCVW)
Conference/Event name:
2015 IEEE International Conference on Computer Vision Workshop (ICCVW)
Issue Date:
7-Dec-2015
DOI:
10.1109/ICCVW.2015.79
Type:
Conference Paper
Sponsors:
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. Jiri Matas and Tomas Vojir 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¨ager were supported by the Swedish Foundation for Strategic Research through the project CUAS and the Swedish Research Council trough the project EMC2. Some experiments where run on GPUs donated by NVIDIA.
Additional Links:
http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7406428
Appears in Collections:
Conference Papers; Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorKristan, Matejen
dc.contributor.authorMatas, Jirien
dc.contributor.authorLeonardis, Aleen
dc.contributor.authorFelsberg, Michaelen
dc.contributor.authorCehovin, Lukaen
dc.contributor.authorFernandez, Gustavoen
dc.contributor.authorVojir, Tomaen
dc.contributor.authorHager, Gustaven
dc.contributor.authorNebehay, Georgen
dc.contributor.authorPflugfelder, Romanen
dc.contributor.authorGupta, Abhinaven
dc.contributor.authorBibi, Adel Aameren
dc.contributor.authorLukezic, Alanen
dc.contributor.authorGarcia-Martin, Alvaroen
dc.contributor.authorSaffari, Amiren
dc.contributor.authorPetrosino, Alfredoen
dc.contributor.authorMontero, Andres Solısen
dc.contributor.authorVarfolomieiev, Antonen
dc.contributor.authorBaskurt, Atillaen
dc.contributor.authorZhao, Baojunen
dc.contributor.authorGhanem, Bernarden
dc.contributor.authorMartinez, Braisen
dc.contributor.authorLee, ByeongJuen
dc.contributor.authorHan, Bohyungen
dc.contributor.authorWang, Chaohuien
dc.contributor.authorGarcia, Christopheen
dc.contributor.authorZhang, Chunyuanen
dc.contributor.authorSchmid, Cordeliaen
dc.contributor.authorTao, Dachengen
dc.contributor.authorKim, Daijinen
dc.contributor.authorHuang, Dafeien
dc.contributor.authorProkhorov, Danilen
dc.contributor.authorDu, Daweien
dc.contributor.authorYeung, Dit-Yanen
dc.contributor.authorRibeiro, Eraldoen
dc.contributor.authorKhan, Fahad Shahbazen
dc.contributor.authorPorikli, Fatihen
dc.contributor.authorBunyak, Filizen
dc.contributor.authorZhu, Gaoen
dc.contributor.authorSeetharaman, Gunaen
dc.contributor.authorKieritz, Hilkeen
dc.contributor.authorYau, Hing Tuenen
dc.contributor.authorLi, Hongdongen
dc.contributor.authorQi, Honggangen
dc.contributor.authorBischof, Horsten
dc.contributor.authorPossegger, Horsten
dc.contributor.authorLee, Hyeminen
dc.contributor.authorNam, Hyeonseoben
dc.contributor.authorBogun, Ivanen
dc.contributor.authorJeong, Jae-chanen
dc.contributor.authorCho, Jae-ilen
dc.contributor.authorLee, Jae-Yeongen
dc.contributor.authorZhu, Jiankeen
dc.contributor.authorShi, Jianpingen
dc.contributor.authorLi, Jiatongen
dc.contributor.authorJia, Jiayaen
dc.contributor.authorFeng, Jiayien
dc.contributor.authorGao, Jinen
dc.contributor.authorChoi, Jin Youngen
dc.contributor.authorKim, Ji-Wanen
dc.contributor.authorLang, Jochenen
dc.contributor.authorMartinez, Jose M.en
dc.contributor.authorChoi, Jongwonen
dc.contributor.authorXing, Junliangen
dc.contributor.authorXue, Kaien
dc.contributor.authorPalaniappan, Kannappanen
dc.contributor.authorLebeda, Karelen
dc.contributor.authorAlahari, Karteeken
dc.contributor.authorGao, Keen
dc.contributor.authorYun, Kiminen
dc.contributor.authorWong, Kin Hongen
dc.contributor.authorLuo, Leien
dc.contributor.authorMa, Liangen
dc.contributor.authorKe, Lipengen
dc.contributor.authorWen, Longyinen
dc.contributor.authorBertinetto, Lucaen
dc.contributor.authorPootschi, Mahdiehen
dc.contributor.authorMaresca, Marioen
dc.contributor.authorDanelljan, Martinen
dc.contributor.authorWen, Meien
dc.contributor.authorZhang, Mengdanen
dc.contributor.authorArens, Michaelen
dc.contributor.authorValstar, Michelen
dc.contributor.authorTang, Mingen
dc.contributor.authorChang, Ming-Chingen
dc.contributor.authorKhan, Muhammad Harisen
dc.contributor.authorFan, Nanaen
dc.contributor.authorWang, Naiyanen
dc.contributor.authorMiksik, Ondrejen
dc.contributor.authorTorr, Philip H Sen
dc.contributor.authorWang, Qiangen
dc.contributor.authorMartin-Nieto, Rafaelen
dc.contributor.authorPelapur, Rengarajanen
dc.contributor.authorBowden, Richarden
dc.contributor.authorLaganiere, Roberten
dc.contributor.authorMoujtahid, Salmaen
dc.contributor.authorHare, Samen
dc.contributor.authorHadfield, Simonen
dc.contributor.authorLyu, Siweien
dc.contributor.authorLi, Siyien
dc.contributor.authorZhu, Song-Chunen
dc.contributor.authorBecker, Stefanen
dc.contributor.authorDuffner, Stefanen
dc.contributor.authorHicks, Stephen Len
dc.contributor.authorGolodetz, Stuarten
dc.contributor.authorChoi, Sungloken
dc.contributor.authorWu, Tianfuen
dc.contributor.authorMauthner, Thomasen
dc.contributor.authorPridmore, Tonyen
dc.contributor.authorHu, Weimingen
dc.contributor.authorHubner, Wolfgangen
dc.contributor.authorWang, Xiaomengen
dc.contributor.authorLi, Xinen
dc.contributor.authorShi, Xinchuen
dc.contributor.authorZhao, Xuen
dc.contributor.authorMei, Xueen
dc.contributor.authorShizeng, Yaoen
dc.contributor.authorHua, Yangen
dc.contributor.authorLi, Yangen
dc.contributor.authorLu, Yangen
dc.contributor.authorLi, Yuezunen
dc.contributor.authorChen, Zhaoyunen
dc.contributor.authorHuang, Zehuaen
dc.contributor.authorChen, Zheen
dc.contributor.authorZhang, Zheen
dc.contributor.authorHe, Zhenyuen
dc.contributor.authorHong, Zhibinen
dc.date.accessioned2016-04-17T14:02:45Zen
dc.date.available2016-04-17T14:02:45Zen
dc.date.issued2015-12-07en
dc.identifier.doi10.1109/ICCVW.2015.79en
dc.identifier.urihttp://hdl.handle.net/10754/605657en
dc.description.abstractThe Visual Object Tracking challenge 2015, VOT2015, aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance. Results of 62 trackers are presented. The number of tested trackers makes VOT 2015 the largest benchmark on short-term tracking to date. For each participating tracker, a short description is provided in the appendix. Features of the VOT2015 challenge that go beyond its VOT2014 predecessor are: (i) a new VOT2015 dataset twice as large as in VOT2014 with full annotation of targets by rotated bounding boxes and per-frame attribute, (ii) extensions of the VOT2014 evaluation methodology by introduction of a new performance measure. The dataset, the evaluation kit as well as the results are publicly available at the challenge website.en
dc.description.sponsorshipThis 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. Jiri Matas and Tomas Vojir 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¨ager were supported by the Swedish Foundation for Strategic Research through the project CUAS and the Swedish Research Council trough the project EMC2. Some experiments where run on GPUs donated by NVIDIA.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7406428en
dc.rights(c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.en
dc.titleThe Visual Object Tracking VOT2015 Challenge Resultsen
dc.typeConference Paperen
dc.contributor.departmentElectrical Engineering Programen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.identifier.journal2015 IEEE International Conference on Computer Vision Workshop (ICCVW)en
dc.conference.date7-13 Dec. 2015en
dc.conference.name2015 IEEE International Conference on Computer Vision Workshop (ICCVW)en
dc.conference.locationSantiagoen
dc.eprint.versionPost-printen
dc.contributor.institutionUniversity of Ljubljana, Sloveniaen
dc.contributor.institutionCzech Technical University, Czech Republicen
dc.contributor.institutionUniversity of Birmingham, United Kingdomen
dc.contributor.institutionLinkoping University, Swedenen
dc.contributor.institutionAustrian Institute of Technology, Austriaen
dc.contributor.institutionCarnegie Mellon University, USAen
dc.contributor.institutionUniversidad Aut´onoma de Madrid, Spainen
dc.contributor.institutionBaidu Corporation, Chinaen
dc.contributor.institutionAffectv, United Kingdomen
dc.contributor.institutionTuSimple LLCen
dc.contributor.institutionParthenope University of Naples, Italyen
dc.contributor.institutionUniversity of Ottawa, Canadaen
dc.contributor.institutionNational Technical University of Ukraine, Ukraineen
dc.contributor.institutionUniversite de Lyon, Franceen
dc.contributor.institutionBeijing Institute of Technology, Chinaen
dc.contributor.institutionUniversity of Nottingham, United Kingdomen
dc.contributor.institutionSeoul National University, Koreaen
dc.contributor.institutionPOSTECH, Koreaen
dc.contributor.institutionUniversite Paris-Est, Franceen
dc.contributor.institutionLIRIS, Franceen
dc.contributor.institutionNational University of Defense Technology, Chinaen
dc.contributor.institutionNational Key Laboratory of Parallel and Distributed Processing Changsha, Chinaen
dc.contributor.institutionINRIA Grenoble Rhone-Alpes, Franceen
dc.contributor.institutionUniversity of Technology, Australiaen
dc.contributor.institutionToyota Research Institute, USAen
dc.contributor.institutionUniversity at Albany, USAen
dc.contributor.institutionSCCE, Chinese Academy of Sciences, Chinaen
dc.contributor.institutionHong Kong University of Science and Technology, Hong Kongen
dc.contributor.institutionFlorida Institute of Technology, USAen
dc.contributor.institutionAustralian National University, Australiaen
dc.contributor.institutionNICTA, Australiaen
dc.contributor.institutionUniversity of Missouri, USAen
dc.contributor.institutionCarnegie Mellon University, USAen
dc.contributor.institutionNaval Research Lab, USAen
dc.contributor.institutionHarbin Engineering University, Chinaen
dc.contributor.institutionFraunhofer IOSB, Germanyen
dc.contributor.institutionChinese University of Hong Kong, Hong Kongen
dc.contributor.institutionARC Centre of Excellence for Robotic Vision, Australiaen
dc.contributor.institutionGraz University of Technology, Austriaen
dc.contributor.institutionElectronics and Telecommunications Research Institute, Koreaen
dc.contributor.institutionZhejiang University, Chinaen
dc.contributor.institutionCUHK, Hong Kongen
dc.contributor.institutionInstitute of Automation, Chinese Academy of Sciences, Chinaen
dc.contributor.institutionUniversity of Surrey, United Kingdomen
dc.contributor.institutionOxford University, United Kingdomen
dc.contributor.institutionObvious Engineering, United Kingdomen
dc.contributor.institutionUniversity of California, USAen
dc.contributor.institutionHarbin Institute of Technology, Chinaen
kaust.authorBibi, Adel Aameren
kaust.authorGhanem, Bernarden
All Items in KAUST are protected by copyright, with all rights reserved, unless otherwise indicated.