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The Visual Object Tracking VOT2015 Challenge Results

Matej Kristan 1 Jiri Matas 2 Aleš Leonardis 3 Michael Felsberg 4 Luka Cehovin 1 Gustavo Fernández 5 Tomas Vojir 2 Gustav Häger 4 Georg Nebehay 5 Roman Pflugfelder 5 Abhinav Gupta 6 Adel Bibi 7 Alan Lukežič 1 Alvaro Garcia-Martin 8 Amir Saffari 9 Alfredo Petrosino 10 Andrés Montero 11 Anton Varfolomieiev 12 Atilla Baskurt 13 Baojun Zhao 14 Bernard Ghanem 7 Brais Martinez 15 Byeongju Lee 16 Bohyung Han 17 Chaohui Wang 18 Christophe Garcia 13 Chunyuan Zhang 19 Cordelia Schmid 20 Dacheng Tao 21 Daijin Kim 17 Dafei Huang 19, 22 Danil Prokhorov 23 Dawei Du 24, 25 Dit-Yan Yeung 26 Eraldo Ribeiro 27 Fahad Shahbaz Khan 4 Fatih Porikli 28, 29 Filiz Bunyak 30 Gao Zhu 28 Guna Seetharaman 31 Hilke Kieritz 32 Hing Yau 33 Hongdong Li 34, 28 Honggang Qi 24, 25 Horst Bischof 35 Horst Possegger 35 Hyemin Lee 17 Hyeonseob Nam 17 Ivan Bogun 27 Jae-Chan Jeong 36 Jae-Il Cho 36 Jae-Yeong Lee 36 Jianke Zhu 37 Jianping Shi 33 Jiatong Li 21, 14 Jiaya Jia 33 Jiayi Feng 38 Jin Gao 38 Jin Young Choi 16 Ji-Wan Kim 36 Jochen Lang 11, 39 Jose M. Martinez 8 Jongwon Choi 16, 40 Junliang Xing 38, 41 Kai Xue 42 Kannappan Palaniappan 30 Karel Lebeda 43 Karteek Alahari 20 Ke Gao 30 Kimin Yun 16 Kin Hong Wong 33 Lei Luo 19 Liang Ma 42 Lipeng Ke 24, 25 Longyin Wen 25 Luca Bertinetto 44 Mahdieh Pootschi 30 Mario Maresca 10 Martin Danelljan 4 Mei Wen 19, 22 Mengdan Zhang 38 Michael Arens 32 Michel Valstar 15 Ming Tang 38 Ming-Ching Chang 25 Muhammad Khan 45 Nana Fan 46 Naiyan Wang 26 Ondrej Miksik 44 Philip H. S. Torr 44 Qiang Wang 38 Rafael Martin-Nieto 8 Rengarajan Pelapur 30 Richard Bowden 43 Robert Laganière 11 Salma Moujtahid 13 Sam Hare 47 Simon Hadfield 43 Siwei Lyu 25 Siyi Li 26, 48 Song-Chun Zhu 49, 50 Stefan Becker 32 Stefan Duffner 13 Stephen Hicks 44 Stuart Golodetz 44 Sunglok Choi 51 Tianfu Wu 49 Thomas Mauthner 35 Tony Pridmore 45 Weiming Hu 52 Wolfgang Hübner 32 Xiaomeng Wang 53 Xin Li 54 Xinchu Shi 38 Xu Zhao 55 Xue Mei 23 Yao Shizeng 30 Yang Hua 20 Yang Li 37 Yang Lu 49 Yuezun Li 25 Zhaoyun Chen 56 Zehua Huang 6 Zhe Chen 56 Zhe Zhang 57 Zhenyu He 58 Zhibin Hong
1 University of Ljubljana
2 CTU - Czech Technical University in Prague
3 University of Birmingham [Birmingham]
4 LIU - Linköping University
5 AIT - Austrian Institute of Technology [Vienna]
6 CMU - Carnegie Mellon University [Pittsburgh]
7 KAUST - King Abdullah University of Science and Technology
8 UAM - Universidad Autonoma de Madrid
9 Affectv [London]
10 Universita degli studi di Napoli "Parthenope" [Napoli]
11 uOttawa - University of Ottawa [Ottawa]
12 National Technical University of Ukraine "Kyiv Polytechnic Institute" [Kiev]
13 imagine - Extraction de Caractéristiques et Identification
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
14 BIT - Beijing Institute of Technology
15 Faculty of Engineering [Nottingham]
16 SNU - Seoul National University [Seoul]
17 POSTECH - Pohang University of Science and Technology
18 UPE - Université Paris-Est
19 National University of Defense Technology [China]
20 LEAR - Learning and recognition in vision
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology
21 UTS - University of Technology Sydney
22 National Key Laboratory for Parallel and Distributed Processing [Changsha]
23 Toyota Research Institute
24 CAS - Chinese Academy of Sciences [Changchun Branch]
25 University at Albany [SUNY]
26 HKUST - Hong Kong University of Science and Technology
27 Florida Institute of Technology [Melbourne]
28 ANU - Australian National University
29 NICTA - Networks Research Group
30 Mizzou - University of Missouri [Columbia]
31 NRL - Naval Research Laboratory
32 Fraunhofer IOSB - Fraunhofer Institute of Optronics, System Technologies and Image Exploitation
33 The Chinese University of Hong Kong [Hong Kong]
34 Centre of Excellence for Robotic Vision [Canberra]
35 TU Graz - Graz University of Technology [Graz]
36 ETRI - Electronics and Telecommunications Research Institute [DaeJeon]
37 Zhejiang University
38 Institute of Automation - Chinese Academy of Sciences
39 LAMSADE - Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision
40 KAIST - Department of Electrical Engineering [Korea Advanced Institute of Science and Technology]
41 CMH - Centre Maurice Halbwachs
42 HRBEU - Harbin Engineering University
43 UNIS - University of Surrey
44 University of Oxford [Oxford]
45 UON - University of Nottingham, UK
46 HIT - Harbin Institute of Technology
47 Obvious Enginerring
48 LPC - Laboratoire de Physique Corpusculaire - Clermont-Ferrand
49 UCLA - University of California [Los Angeles]
50 LISE - Laboratoire Interfaces et Systèmes Electrochimiques
51 Electronics and Telecommunications Research Institute
52 Rice University [Houston]
53 The University of New Orleans
54 National Key Laboratory of Crop Genetic Improvement
55 Key Laboratory for Anisotropy and Texture of Materials
56 IMPMC - Institut de minéralogie, de physique des matériaux et de cosmochimie
57 School of Materials Science and Engineering
58 State Key Laboratory of Marine Geology [Shanghai]
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.
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LPC-CLERMONT | CNRS | EC-LYON | EHESS | C-M-H | IMPMC | ALLINSP | UPMC | ENS-PARIS | IN2P3 | INRIA | IRD | LJK | LIRIS | PRES_CLERMONT | INSERM | LJK_GI | UNIV-LYON1 | INSA-GROUPE | LABEXIMU | SORBONNE-UNIVERSITE | LJK_GI_LEAR | LISE | MNHN | UNIV-LYON2 | SU-SCIENCES | UDL | UNIV-DAUPHINE | LAMSADE-DAUPHINE | PSL | UGA | SU-TI

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Matej Kristan, Jiri Matas, Aleš Leonardis, Michael Felsberg, Luka Cehovin, et al.. The Visual Object Tracking VOT2015 Challenge Results. Visual Object Tracking Workshop 2015 at ICCV2015, Dec 2015, Santiago, Chile. ⟨10.1109/ICCVW.2015.79⟩. ⟨hal-01336773⟩

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