The Visual Object Tracking VOT2015 challenge results
Linköpings universitet, Datorseende ; Linköpings universitet, Tekniska fakulteten ; Linköpings universitet, Centrum för medicinsk bildvetenskap och visualisering, CMIV ; University of Ljubljana, Slovenia ; Czech Technical University, Czech Republic ; University of Birmingham, England ; Austrian Institute Technology, Austria ; Carnegie Mellon University, PA 15213 USA ; King Abdullah University of Science and Technology, Saudi Arabia ; University of Autonoma Madrid, Spain ; Affectv, England ; Parthenope University of Naples, Italy ; University of Ottawa, Canada ; National Technical University of Ukraine, Ukraine ; University of Lyon, France ; Beijing Institute Technology, Peoples R China ; University of Nottingham, England ; Seoul National University, South Korea ; POSTECH, South Korea ; University of Paris Est, France ; LIRIS, France ; National University of Def Technology, Peoples R China; National Key Lab Parallel and Distributed Proc, Peoples R China ; INRIA Grenoble Rhone Alpes, France ; University of Technology Sydney, Australia ; Toyota Research Institute, Japan ; SUNY Albany, NY USA; Chinese Academic Science, Peoples R China ; Hong Kong University of Science and Technology, Peoples R China ; Florida Institute Technology, FL USA ; Australian National University, Australia; NICTA, Australia ; University of Missouri, MO 65211 USA ; Australian National University, Australia ; Naval Research Lab, DC 20375 USA ; Fraunhofer IOSB, Germany ; Chinese University of Hong Kong, Peoples R China ; Australian National University, Australia; ARC Centre Excellence Robot Vis, Australia ; Graz University of Technology, Austria ; Elect and Telecommun Research Institute, South Korea ; Zhejiang University, Peoples R China ; CUHK, Peoples R China ; Beijing Institute Technology, Peoples R China; University of Technology Sydney, Australia ; Chinese Academic Science, Peoples R China ; Harbin Engn University, Peoples R China ; University of Surrey, England ; National University of Def Technology, Peoples R China ; SUNY Albany, NY USA ; University of Oxford, England ; Harbin Institute Technology, Peoples R China ; TuSimple LLC, CA USA; Hong Kong University of Science and Technology, Peoples R China ; Obvious Engn, England ; University of California, USA ; University of Lyon, France; LIRIS, France ; University of Missouri, USA ; INRIA Grenoble Rhône-Alpes, France ; Baidu Corp, Peoples R China ; IEEE, 2015
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Zugriff:
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(1).
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The Visual Object Tracking VOT2015 challenge results
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| Autor/in / Beteiligte Person: | Kristan, Matej ; Matas, Jiri ; Leonardis, Ales ; Felsberg, Michael ; Cehovin, Luka ; Fernandez, Gustavo ; Vojir, Tomas ; Häger, Gustav ; Nebehay, Georg ; Pflugfelder, Roman ; Gupta, Abhinav ; Bibi, Adel ; Lukezic, Alan ; Garcia-Martins, Alvaro ; Saffari, Amir ; Petrosino, Alfredo ; Solis Montero, Andres ; Varfolomieiev, Anton ; Baskurt, Atilla ; Zhao, Baojun ; Ghanem, Bernard ; Martinez, Brais ; Lee, Byeong ; Ju ; 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 ; Porikli, Fatih ; Bunyak, Filiz ; Zhu, Gao ; Seetharaman, Guna ; Kieritz, Hilke ; Tuen Yau, Hing ; Li, Hongdong ; Qi, Honggang ; Bischof, Horst ; Possegger, Horst ; Lee, Hyemin ; Nam, Hyeonseob ; Bogun, Ivan ; Jeong, Jae-chan ; Cho, Jae-il ; Lee, Jae-Young ; Zhu, Jianke ; Shi, Jianping ; Li, Jiatong ; Jia, Jiaya ; Feng, Jiayi ; Gao, Jin ; Young Choi, Jin ; Kim, Ji-Wan ; Lang, Jochen ; Martinez, Jose M. ; Choi, Jongwon ; Xing, Junliang ; Xue, Kai ; Palaniappan, Kannappan ; Lebeda, Karel ; Alahari, Karteek ; Gao, Ke ; Yun, Kimin ; Hong Wong, Kin ; Luo, Lei ; Ma, Liang ; Ke, Lipeng ; Wen, Longyin ; Bertinetto, Luca ; Pootschi, Mandieh ; Maresca, Mario ; Danelljan, Martin ; Wen, Mei ; Zhang, Mengdan ; Arens, Michael ; Valstar, Michel ; Tang, Ming ; Chang, Ming-Ching ; Haris Khan, Muhammad ; 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 |
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| Veröffentlichung: | Linköpings universitet, Datorseende ; Linköpings universitet, Tekniska fakulteten ; Linköpings universitet, Centrum för medicinsk bildvetenskap och visualisering, CMIV ; University of Ljubljana, Slovenia ; Czech Technical University, Czech Republic ; University of Birmingham, England ; Austrian Institute Technology, Austria ; Carnegie Mellon University, PA 15213 USA ; King Abdullah University of Science and Technology, Saudi Arabia ; University of Autonoma Madrid, Spain ; Affectv, England ; Parthenope University of Naples, Italy ; University of Ottawa, Canada ; National Technical University of Ukraine, Ukraine ; University of Lyon, France ; Beijing Institute Technology, Peoples R China ; University of Nottingham, England ; Seoul National University, South Korea ; POSTECH, South Korea ; University of Paris Est, France ; LIRIS, France ; National University of Def Technology, Peoples R China; National Key Lab Parallel and Distributed Proc, Peoples R China ; INRIA Grenoble Rhone Alpes, France ; University of Technology Sydney, Australia ; Toyota Research Institute, Japan ; SUNY Albany, NY USA; Chinese Academic Science, Peoples R China ; Hong Kong University of Science and Technology, Peoples R China ; Florida Institute Technology, FL USA ; Australian National University, Australia; NICTA, Australia ; University of Missouri, MO 65211 USA ; Australian National University, Australia ; Naval Research Lab, DC 20375 USA ; Fraunhofer IOSB, Germany ; Chinese University of Hong Kong, Peoples R China ; Australian National University, Australia; ARC Centre Excellence Robot Vis, Australia ; Graz University of Technology, Austria ; Elect and Telecommun Research Institute, South Korea ; Zhejiang University, Peoples R China ; CUHK, Peoples R China ; Beijing Institute Technology, Peoples R China; University of Technology Sydney, Australia ; Chinese Academic Science, Peoples R China ; Harbin Engn University, Peoples R China ; University of Surrey, England ; National University of Def Technology, Peoples R China ; SUNY Albany, NY USA ; University of Oxford, England ; Harbin Institute Technology, Peoples R China ; TuSimple LLC, CA USA; Hong Kong University of Science and Technology, Peoples R China ; Obvious Engn, England ; University of California, USA ; University of Lyon, France; LIRIS, France ; University of Missouri, USA ; INRIA Grenoble Rhône-Alpes, France ; Baidu Corp, Peoples R China ; IEEE, 2015 |
| Medientyp: | Konferenz |
| ISBN: | 978-0-7695-5720-5 (print) ; 0-7695-5720-1 (print) |
| DOI: | 10.1109/ICCVW.2015.79 |
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