• Login
    View Item 
    •   Home
    • Research
    • Conference Papers
    • View Item
    •   Home
    • Research
    • Conference Papers
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of KAUSTCommunitiesIssue DateSubmit DateThis CollectionIssue DateSubmit Date

    My Account

    Login

    Quick Links

    Open Access PolicyORCID LibguidePlumX LibguideSubmit an Item

    Statistics

    Display statistics

    The Visual Object Tracking VOT2017 Challenge Results

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Type
    Conference Paper
    Authors
    Kristan, Matej
    Leonardis, Ales
    Matas, Jiri
    Felsberg, Michael
    Pflugfelder, Roman
    Zajc, Luka Cehovin
    Vojir, Tomas
    Hager, Gustav
    Lukezic, Alan
    Eldesokey, Abdelrahman
    Fernandez, Gustavo
    Garcia-Martin, Alvaro
    Muhic, A.
    Petrosino, Alfredo
    Memarmoghadam, Alireza
    Vedaldi, Andrea
    Manzanera, Antoine
    Tran, Antoine
    Alatan, Aydin
    Mocanu, Bogdan
    Chen, Boyu
    Huang, Chang
    Xu, Changsheng
    Sun, Chong
    Du, Dalong
    Zhang, David
    Du, Dawei
    Mishra, Deepak
    Gundogdu, Erhan
    Velasco-Salido, Erik
    Khan, Fahad Shahbaz
    Battistone, Francesco
    Subrahmanyam, Gorthi R. K. Sai
    Bhat, Goutam
    Huang, Guan
    Bastos, Guilherme
    Seetharaman, Guna
    Zhang, Hongliang
    Li, Houqiang
    Lu, Huchuan
    Drummond, Isabela
    Valmadre, Jack
    Jeong, Jae-chan
    Cho, Jae-il
    Lee, Jae-Yeong
    Noskova, Jana
    Zhu, Jianke
    Gao, Jin
    Liu, Jingyu
    Kim, Ji-Wan
    Henriques, Joao F.
    Martinez, Jose M.
    Zhuang, Junfei
    Xing, Junliang
    Gao, Junyu
    Chen, Kai
    Palaniappan, Kannappan
    Lebeda, Karel
    Gao, Ke
    Kitani, Kris M.
    Zhang, Lei
    Wang, Lijun
    Yang, Lingxiao
    Wen, Longyin
    Bertinetto, Luca
    Poostchi, Mahdieh
    Danelljan, Martin
    Müller, Matthias cc
    Zhang, Mengdan
    Yang, Ming-Hsuan
    Xie, Nianhao
    Wang, Ning
    Miksik, Ondrej
    Moallem, P.
    M, Pallavi Venugopal
    Senna, Pedro
    Torr, Philip H. S.
    Wang, Qiang
    Yu, Qifeng
    Huang, Qingming
    Martin-Nieto, Rafael
    Bowden, Richard
    Liu, Risheng
    Tapu, Ruxandra
    Hadfield, Simon
    Lyu, Siwei
    Golodetz, Stuart
    Choi, Sunglok
    Zhang, Tianzhu
    Zaharia, Titus
    Santopietro, Vincenzo
    Zou, Wei
    Hu, Weiming
    Tao, Wenbing
    Li, Wenbo
    Zhou, Wengang
    Yu, Xianguo
    Bian, Xiao
    Li, Yang
    Xing, Yifan
    Fan, Yingruo
    Zhu, Zheng
    Zhang, Zhipeng
    He, Zhiqun
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Date
    2018-01-22
    Online Publication Date
    2018-01-22
    Print Publication Date
    2017-10
    Permanent link to this record
    http://hdl.handle.net/10754/630412
    
    Metadata
    Show full item record
    Abstract
    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 website1.
    Citation
    Kristan M, Leonardis A, Matas J, Felsberg M, Pflugfelder R, et al. (2017) The Visual Object Tracking VOT2017 Challenge Results. 2017 IEEE International Conference on Computer Vision Workshops (ICCVW). Available: http://dx.doi.org/10.1109/ICCVW.2017.230.
    Sponsors
    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 project J2–8175. Jifi Matas and Tomáš Vojíř were supported by the Czech Science Foundation Project GACR P103/12/G084. Michael Felsberg and Gustav Häger were supported by WASP, VR (EMC2), SSF (SymbiCloud), and SNIC. Gustavo Fernández and Roman Pflugfelder were supported by the AIT Strategic Research Programme 2017 Visual Surveillance and Insight. The challenge was sponsored by Faculty of Computer Science, University of Ljubljana, Slovenia.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    2017 IEEE International Conference on Computer Vision Workshops (ICCVW)
    Conference/Event name
    16th IEEE International Conference on Computer Vision Workshops, ICCVW 2017
    DOI
    10.1109/ICCVW.2017.230
    Additional Links
    https://ieeexplore.ieee.org/document/8265440/
    ae974a485f413a2113503eed53cd6c53
    10.1109/ICCVW.2017.230
    Scopus Count
    Collections
    Conference Papers; Electrical Engineering Program; Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

    entitlement

     

    Related items

    Showing items related by title, author, creator and subject.

    • Thumbnail

      Spin-Decoupled Multifunctional Metasurface for Asymmetric Polarization Generation

      Xu, Yuehong; Li, Quan; Zhang, Xueqian; Wei, Minggui; Xu, Quan; Wang, Qiu; Zhang, Huifang; Zhang, Wentao; Hu, Cong; Zhang, Zhenwei; Zhang, Cunlin; Zhang, Xixiang; Han, Jiaguang; Zhang, Weili (ACS Photonics, American Chemical Society (ACS), 2019-10-28) [Article]
      Integrating multiple functionalities into a single device is a striking field in metasurfaces. One promising aspect is polarization-dependent meta-devices enabled by simultaneous phase control over orthogonally polarized waves. Among these, Pancharatnam-Berry (PB) metasurfaces have drawn enormous interest owing to their natural and robust phase control ability over different circularly polarized waves. However, the phase responses are locked to be opposite with each other, resulting in interrelated functionalities under the circularly polarized incidence. Here, a generic designing method based on transmission-type dielectric metasurfaces is proposed in the terahertz regime, which breaks this relation by further incorporating dynamic phase with geometric phase, namely, spin-decoupled phase control method. We demonstrate this method by designing and characterizing an efficient multifunctional meta-grating, which splits different circularly polarized waves to asymmetric angles under normal incidences. More importantly, we promote this method by designing several multiplexed meta-gratings for applications of asymmetric polarization generation, which can convert arbitrary linearly polarized wave to two different linearly polarized waves with nearly equal strength and split them to asymmetric angles with a polarization-insensitive efficiency. The designing strategy proposed here shows an impressive robustness and a great flexibility for designing multifunctional metasurface-based devices and opens new avenues toward modulation of polarization states and the application of metasurfaces in beam steering and polarization multiplexing systems.
    • Thumbnail

      Unveiling of the energy storage mechanisms of multi -modified (Nb2O5@C)/rGO nanoarrays as anode for high voltage supercapacitors with formulated ionic liquid electrolytes

      Zhang, Jiahe; Zhang, Haitao; Zhang, Yaqin; Zhang, Junwei; He, Hongyan; Zhang, Xixiang; Shim, Jae Jin; Zhang, Suojiang (Electrochimica Acta, Elsevier Ltd, 2019-04-29) [Article]
      A better understanding of the energy-storage mechanisms in complex pseudocapacitive nanostructures is essential to improve the performances of nanohybrid supercapacitors. In this study, highly interface modified Nb2O5 nanoarrays, attached to graphene nanosheets, were carefully designed and synthesized. The electrochemical performances were evaluated in an organic electrolyte, a formulated ionic-liquid mixture electrolyte, and a nanocomposite ionogel electrolyte, respectively. The capacitive and faradaic storage contributions were assessed qualitatively in diverse electrolytes at various temperatures. The capacitive contribution in the ionic liquid electrolyte was found to rise with increasing temperature. A molecular dynamics simulation proved that the increased diffusion coefficient of large ions was much more pronounced than that of the small Li+ ions. A carefully optimized quasi-solid-state lithium ion capacitor, fabricated using a (Nb2O5@C)/rGO nanoarchitecture as the anode and an ionic liquid gel separator, delivered an energy density of 101 Wh kg−1 and a power density of 24 kW kg−1 at 60 °C. The efficient coupling between the nanohybrids and a complex ionogel electrolyte opens a new window for the rational design of high energy-density supercapacitors.
    • Thumbnail

      High-performance and compact broadband terahertz plasmonic waveguide intersection

      Yuan, Mingrui; Li, Yanfeng; Lu, Yongchang; Zhang, Ying; Zhang, Ziying; Zhang, Xueqian; Zhang, Xixiang; Han, Jiaguang; Zhang, Weili (Nanophotonics, De Gruyter, 2019-09-01) [Article]
      For terahertz (THz) integrated systems, an intersection between waveguides is inevitable and is often accompanied by considerable crosstalk and loss. Here, we propose and experimentally demonstrate a novel type of crossing with a footprint less than 0.2 × 0.2 mm2 for THz surface plasmon polariton waveguiding. With an optimized crossover structure, the measured loss of the intersection is as low as 0.89 dB/crossing, and the crosstalk is less than-19.06 dB/crossing at 0.55 THz. The proposed crossing structure is compact and has low loss and crosstalk within a broad band, which will pave the way for a wide range of new applications for THz integrated systems.
    DSpace software copyright © 2002-2021  DuraSpace
    Quick Guide | Contact Us | Send Feedback
    Open Repository is a service hosted by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items. For anonymous users the allowed maximum amount is 50 search results.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.