The Visual Object Tracking VOT2017 challenge results
Matej Kristan
(1)
,
Ales Leonardis
(2)
,
Jiri Matas
(3)
,
Michael Felsberg
(4)
,
Roman Pflugfelder
(5)
,
Luka Čehovin Zajc
(1)
,
Tomáš Vojir
(3)
,
Gustav Hager
(4)
,
Alan Lukezic
(1)
,
Abdelrahman Eldesokey
(4)
,
Gustavo Fernandez
(5)
,
Alvaro Garcia-Martin
(6)
,
Andrej Muhic
(1)
,
Alfredo Petrosino
(7)
,
Alireza Memarmoghadam
(8)
,
Andrea Vedaldi
(9)
,
Antoine Manzanera
(10)
,
Antoine Tran
(10)
,
Aydin Alatan
(11)
,
Bogdan Mocanu
(12, 13, 14, 15)
,
Ruxandra Tapu
(12, 13, 14, 15)
,
Titus Zaharia
(16, 12, 13, 17, 15)
1
University of Ljubljana
2 University of Birmingham [Birmingham]
3 CTU - Czech Technical University in Prague
4 LIU - Linköping University
5 AIT - Austrian Institute of Technology [Vienna]
6 UAM - Universidad Autónoma de Madrid
7 PARTHENOPE - Università degli Studi di Napoli “Parthenope” = University of Naples
8 University of Isfahan
9 University of Oxford
10 ENSTA Paris - École Nationale Supérieure de Techniques Avancées
11 METU - Middle East Technical University (.)
12 TSP - ARTEMIS - Département Advanced Research And Techniques For Multidimensional Imaging Systems
13 SAMOVAR - Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux
14 UPB - University Politehnica of Bucharest [Romania]
15 CNRS - Centre National de la Recherche Scientifique
16 ARMEDIA-SAMOVAR - ARMEDIA
17 MAP5 - UMR 8145 - Mathématiques Appliquées Paris 5
2 University of Birmingham [Birmingham]
3 CTU - Czech Technical University in Prague
4 LIU - Linköping University
5 AIT - Austrian Institute of Technology [Vienna]
6 UAM - Universidad Autónoma de Madrid
7 PARTHENOPE - Università degli Studi di Napoli “Parthenope” = University of Naples
8 University of Isfahan
9 University of Oxford
10 ENSTA Paris - École Nationale Supérieure de Techniques Avancées
11 METU - Middle East Technical University (.)
12 TSP - ARTEMIS - Département Advanced Research And Techniques For Multidimensional Imaging Systems
13 SAMOVAR - Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux
14 UPB - University Politehnica of Bucharest [Romania]
15 CNRS - Centre National de la Recherche Scientifique
16 ARMEDIA-SAMOVAR - ARMEDIA
17 MAP5 - UMR 8145 - Mathématiques Appliquées Paris 5
Antoine Manzanera
- Fonction : Auteur
- PersonId : 2800
- IdHAL : antoine-manzanera
- ORCID : 0000-0001-5718-411X
- IdRef : 057787360
Bogdan Mocanu
- Fonction : Auteur
- PersonId : 999910
Ruxandra Tapu
- Fonction : Auteur
- PersonId : 1315702
- ORCID : 0000-0003-3170-4150
Titus Zaharia
- Fonction : Auteur
- PersonId : 751841
- IdHAL : titus-zaharia
Résumé
The Visual Object Tracking challenge VOT2017 is the fifth annual tracker benchmarking activity organized by the VOT initiative. Results of 51 trackers are presented; many are state-of-the-art published at major computer vision conferences or journals in recent years. The evaluation included the standard VOT and other popular methodologies and a new "real-time" experiment simulating a situation where a tracker processes images as if provided by a continuously running sensor. Performance of the tested trackers typically by far exceeds standard baselines. The source code for most of the trackers is publicly available from the VOT page. The VOT2017 goes beyond its predecessors by (i) improving the VOT public dataset and introducing a separate VOT2017 sequestered dataset, (ii) introducing a realtime tracking experiment and (iii) releasing a redesigned toolkit that supports complex experiments. The dataset, the evaluation kit and the results are publicly available at the challenge website