• English
  • Deutsch
  • Log In
    Password Login
    Research Outputs
    Fundings & Projects
    Researchers
    Institutes
    Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Konferenzschrift
  4. The Visual Object Tracking VOT2015 challenge results
 
  • Details
  • Full
Options
2015
Conference Paper
Title

The Visual Object Tracking VOT2015 challenge results

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 shortterm 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.
Author(s)
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-Martin, Alvaro
Saffari, Amir
Petrosino, Alfredo
Solis Montero, Andres
Varfolomieiev, Anton
Baskurt, Atilla
Zhao, Baojun
Ghanem, Bernard
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
Shahbaz 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-Yeong
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, Mahdieh
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
Hübner, 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
Mainwork
IEEE International Conference on Computer Vision Workshop (ICCVW 2015)  
Conference
International Conference on Computer Vision Workshop (ICCVW) 2015  
Open Access
File(s)
Download (2.31 MB)
DOI
10.1109/ICCVW.2015.79
10.24406/publica-r-390742
Additional link
Full text
Language
English
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Keyword(s)
  • NAT

  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Contact
© 2024