Language:

The Visual Object Tracking VOT2016 Challenge Results

COMPUTER VISION - ECCV 2016 WORKSHOPS, PT II, 2016, p.777 [Peer Reviewed Journal]

ISBN: 9783319488813 ;ISBN: 3319488805 ;ISBN: 9783319488806 ;ISBN: 3319488813 ;DOI: 10.1007/978-3-319-48881-3_54

Digital Resources/Online E-Resources

Citations Cited by

Actions
1. Add to My Research
2. Remove from My Research
3. E-mail
4. Print
5. Permalink
6. Citation
7. EasyBib
8. EndNote
9. RefWorks
10. Delicious
11. Export RIS
12. Export BibTeX

Title:
The Visual Object Tracking VOT2016 Challenge Results
Author: Kristan, Matej ; Leonardis, Ales ; Felsberg, Michael ; Pflugfelder, Roman ; Vojir, Tomas ; Häger, Gustav ; Fernandez, Gustavo ; Gupta, Abhinav ; Petrosino, Alfredo ; Memarmoghadam, Alireza ; Solis Montero, Andres ; Vedaldi, Andrea ; Varfolomieiev, Anton ; Alatan, Aydin ; Erdem, Aykut ; Liu, Bin ; Han, Bohyung ; Martinez, Brais ; Sun, Chong ; Kim, Daijin ; Chen, Dapeng ; Du, Dawei ; Mishra, Deepak ; Yeung, Dit-Yan ; Erdem, Erkut ; Khan, Fahad ; Porikli, Fatih ; Zhao, Fei ; Bunyak, Filiz ; Battistone, Francesco ; Zhu, Gao ; Roffo, Giorgio ; Sai Subrahmanyam, Gorthi R. K. ; Bastos, Guilherme ; Medeiros, Henry ; Bischof, Horst ; Possegger, Horst ; Lu, Huchuan ; Lee, Hyemin ; Nam, Hyeonseob ; Drummond, Isabela ; Valmadre, Jack ; Jeong, Jae-chan ; Lee, Jae-Yeong ; Feng, Jiayi ; Xiao, Jingjing ; Kim, Ji-Wan ; Jeong, Jiyeoup ; Henriques, Joao F. ; Lang, Jochen ; Choi, Jongwon ; Martinez, Jose M. ; Xing, Junliang ; Gao, Junyu ; Gao, Ke ; Mikolajczyk, Krystian ; Wang, Lijun ; Wen, Longyin ; Bertinetto, Luca ; Maresca, Mario ; Mueller, Matthias ; Arens, Michael ; Tang, Ming ; Baek, Mooyeol ; Haris Khan, Muhammad ; Fan, Nana ; Al-Shakarji, Noor ; Miksik, Ondrej ; Akin, Osman ; Moallem, Payman ; Senna, Pedro ; Torr, Philip H. S. ; Yuen, Pong C. ; Huang, Qingming ; Martin-Nieto, Rafael ; Pelapur, Rengarajan ; Bowden, Richard ; Laganiere, Robert ; Stolkin, Rustam ; Walsh, Ryan ; Krah, Sebastian B. ; Zhang, Shengping ; Yao, Shizeng ; Melzi, Simone ; Li, Siyi ; Becker, Stefan ; Golodetz, Stuart ; Kakanuru, Sumithra ; Choi, Sunglok ; Hu, Tao ; Santopietro, Vincenzo ; Hu, Weiming ; Li, Wenbo ; Lan, Xiangyuan ; Wang, Xiaomeng ; Wang, Yifan ; Yuan, Zejian ; Xu, Zhan ; He, Zhenyu ; Chi, Zhizhen
Is Part Of: COMPUTER VISION - ECCV 2016 WORKSHOPS, PT II, 2016, p.777
Description: The Visual Object Tracking challenge VOT2016 aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance. Results of 70 trackers are presented, with a large number of trackers being published at major computer vision conferences and journals in the recent years. The number of tested state-of-the-art trackers makes the VOT 2016 the largest and most challenging benchmark on short-term tracking to date. For each participating tracker, a short description is provided in the Appendix. The VOT2016 goes beyond its predecessors by (i) introducing a new semi-automatic ground truth bounding box annotation methodology and (ii) extending the evaluation system with the no-reset experiment.
Language: English
Identifier: ISBN: 9783319488813
ISBN: 3319488805
ISBN: 9783319488806
ISBN: 3319488813
DOI: 10.1007/978-3-319-48881-3_54
Source: SWEPUB Freely available online

Back to results list


INSPIRE LIBRARY - TON DUC THANG UNIVERSITY	(84-028) 37 755 057	Feedback
19 Nguyen Huu Tho St. Dist.7, HCM	thuvien@tdtu.edu.vn	Feedback

The Visual Object Tracking VOT2016 Challenge Results

ISBN: 9783319488813 ;ISBN: 3319488805 ;ISBN: 9783319488806 ;ISBN: 3319488813 ;DOI: 10.1007/978-3-319-48881-3_54

Searching Remote Databases, Please Wait