Abstract
| Original language | English (US) |
|---|---|
| Title of host publication | 2015 IEEE International Conference on Computer Vision Workshop (ICCVW) |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| Pages | 564-586 |
| Number of pages | 23 |
| ISBN (Print) | 9781467397117 |
| DOIs | |
| State | Published - Feb 16 2016 |
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The Visual Object Tracking VOT2015 Challenge Results. / Kristan, Matej; Matas, Jiri; Leonardis, Ale; Felsberg, Michael; Cehovin, Luka; Fernandez, Gustavo; Vojir, Toma; Hager, Gustav; Nebehay, Georg; Pflugfelder, Roman; Gupta, Abhinav; Bibi, Adel; Lukezic, Alan; Garcia-Martin, Alvaro; Saffari, Amir; Petrosino, Alfredo; Montero, Andres Solıs; 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; Khan, Fahad Shahbaz; Porikli, Fatih; Bunyak, Filiz; Zhu, Gao; Seetharaman, Guna; Kieritz, Hilke; Yau, Hing Tuen; 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; Choi, Jin Young; Kim, Ji-Wan; Lang, Jochen; Martinez, Jose M.; Choi, Jongwon; Xing, Junliang; Xue, Kai; Palaniappan, Kannappan; Lebeda, Karel; Alahari, Karteek; Gao, Ke; Yun, Kimin; Wong, Kin Hong; 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; Khan, Muhammad Haris; 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.
2015 IEEE International Conference on Computer Vision Workshop (ICCVW). Institute of Electrical and Electronics Engineers (IEEE), 2016. p. 564-586.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - The Visual Object Tracking VOT2015 Challenge Results
AU - Kristan, Matej
AU - Matas, Jiri
AU - Leonardis, Ale
AU - Felsberg, Michael
AU - Cehovin, Luka
AU - Fernandez, Gustavo
AU - Vojir, Toma
AU - Hager, Gustav
AU - Nebehay, Georg
AU - Pflugfelder, Roman
AU - Gupta, Abhinav
AU - Bibi, Adel
AU - Lukezic, Alan
AU - Garcia-Martin, Alvaro
AU - Saffari, Amir
AU - Petrosino, Alfredo
AU - Montero, Andres Solıs
AU - Varfolomieiev, Anton
AU - Baskurt, Atilla
AU - Zhao, Baojun
AU - Ghanem, Bernard
AU - Martinez, Brais
AU - Lee, ByeongJu
AU - Han, Bohyung
AU - Wang, Chaohui
AU - Garcia, Christophe
AU - Zhang, Chunyuan
AU - Schmid, Cordelia
AU - Tao, Dacheng
AU - Kim, Daijin
AU - Huang, Dafei
AU - Prokhorov, Danil
AU - Du, Dawei
AU - Yeung, Dit-Yan
AU - Ribeiro, Eraldo
AU - Khan, Fahad Shahbaz
AU - Porikli, Fatih
AU - Bunyak, Filiz
AU - Zhu, Gao
AU - Seetharaman, Guna
AU - Kieritz, Hilke
AU - Yau, Hing Tuen
AU - Li, Hongdong
AU - Qi, Honggang
AU - Bischof, Horst
AU - Possegger, Horst
AU - Lee, Hyemin
AU - Nam, Hyeonseob
AU - Bogun, Ivan
AU - Jeong, Jae-chan
AU - Cho, Jae-il
AU - Lee, Jae-Yeong
AU - Zhu, Jianke
AU - Shi, Jianping
AU - Li, Jiatong
AU - Jia, Jiaya
AU - Feng, Jiayi
AU - Gao, Jin
AU - Choi, Jin Young
AU - Kim, Ji-Wan
AU - Lang, Jochen
AU - Martinez, Jose M.
AU - Choi, Jongwon
AU - Xing, Junliang
AU - Xue, Kai
AU - Palaniappan, Kannappan
AU - Lebeda, Karel
AU - Alahari, Karteek
AU - Gao, Ke
AU - Yun, Kimin
AU - Wong, Kin Hong
AU - Luo, Lei
AU - Ma, Liang
AU - Ke, Lipeng
AU - Wen, Longyin
AU - Bertinetto, Luca
AU - Pootschi, Mahdieh
AU - Maresca, Mario
AU - Danelljan, Martin
AU - Wen, Mei
AU - Zhang, Mengdan
AU - Arens, Michael
AU - Valstar, Michel
AU - Tang, Ming
AU - Chang, Ming-Ching
AU - Khan, Muhammad Haris
AU - Fan, Nana
AU - Wang, Naiyan
AU - Miksik, Ondrej
AU - Torr, Philip H S
AU - Wang, Qiang
AU - Martin-Nieto, Rafael
AU - Pelapur, Rengarajan
AU - Bowden, Richard
AU - Laganiere, Robert
AU - Moujtahid, Salma
AU - Hare, Sam
AU - Hadfield, Simon
AU - Lyu, Siwei
AU - Li, Siyi
AU - Zhu, Song-Chun
AU - Becker, Stefan
AU - Duffner, Stefan
AU - Hicks, Stephen L
AU - Golodetz, Stuart
AU - Choi, Sunglok
AU - Wu, Tianfu
AU - Mauthner, Thomas
AU - Pridmore, Tony
AU - Hu, Weiming
AU - Hubner, Wolfgang
AU - Wang, Xiaomeng
AU - Li, Xin
AU - Shi, Xinchu
AU - Zhao, Xu
AU - Mei, Xue
AU - Shizeng, Yao
AU - Hua, Yang
AU - Li, Yang
AU - Lu, Yang
AU - Li, Yuezun
AU - Chen, Zhaoyun
AU - Huang, Zehua
AU - Chen, Zhe
AU - Zhang, Zhe
AU - He, Zhenyu
AU - Hong, Zhibin
N1 - KAUST Repository Item: Exported on 2020-10-01 Acknowledgements: This work was supported in part by the following research programs and projects: Slovenian research agency research programs P2-0214, P2-0094, Slovenian research agency projects J2-4284, J2-3607, J2-2221 and European Union seventh framework programme under grant agreement no 257906. Jiri Matas and Tomas Vojir were supported by CTU Project SGS13/142/OHK3/2T/13 and by the Technology Agency of the Czech Republic project TE01020415 (V3C – Visual Computing Competence Center). Michael Felsberg and Gustav H¨ager were supported by the Swedish Foundation for Strategic Research through the project CUAS and the Swedish Research Council trough the project EMC2. Some experiments where run on GPUs donated by NVIDIA.
PY - 2016/2/16
Y1 - 2016/2/16
N2 - 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.
AB - 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.
UR - http://hdl.handle.net/10754/605657
UR - http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7406428
UR - http://www.scopus.com/inward/record.url?scp=84962023046&partnerID=8YFLogxK
U2 - 10.1109/ICCVW.2015.79
DO - 10.1109/ICCVW.2015.79
M3 - Conference contribution
SN - 9781467397117
SP - 564
EP - 586
BT - 2015 IEEE International Conference on Computer Vision Workshop (ICCVW)
PB - Institute of Electrical and Electronics Engineers (IEEE)
ER -