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Communication Dans Un Congrès Année : 2015

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 Solís 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 Tuen 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 L 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 [Saudi Arabia]
8 UAM - Universidad Autónoma de Madrid
9 Affectv [London]
10 PARTHENOPE - Università degli Studi di Napoli “Parthenope” = University of Naples
11 University of Ottawa [Ottawa]
12 National Technical University of Ukraine "Kyiv Polytechnic Institute" [Kiev]
13 imagine - Extraction de Caractéristiques et Identification
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
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 CUHK - 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
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 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]
Amir Saffari
  • Fonction : Auteur
Chaohui Wang
Cordelia Schmid
  • Fonction : Auteur
  • PersonId : 831154
Jianke Zhu
  • Fonction : Auteur
Karteek Alahari
Muhammad Khan
  • Fonction : Auteur
  • PersonId : 930846
Sam Hare
  • Fonction : Auteur
Xiaomeng Wang
  • Fonction : Auteur
  • PersonId : 766857
  • IdRef : 163914206
Xin Li
  • Fonction : Auteur
  • PersonId : 758835
  • IdRef : 193139367
Yang Li
Zhibin Hong
  • Fonction : Auteur

Résumé

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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Dates et versions

hal-01336773 , version 1 (20-07-2016)

Identifiants

Citer

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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