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The Visual Object Tracking VOT2015 Challenge Results

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  • معلومة اضافية
    • Contributors:
      University of Ljubljana; Czech Technical University in Prague (CTU); University of Birmingham Birmingham; Linköping University (LIU); Austrian Institute of Technology Vienna (AIT); Carnegie Mellon University Pittsburgh (CMU); King Abdullah University of Science and Technology Saudi Arabia (KAUST); Universidad Autónoma de Madrid (UAM); Affectv London; Università degli Studi di Napoli “Parthenope” = University of Naples (PARTHENOPE); University of Ottawa Ottawa; National Technical University of Ukraine "Kyiv Polytechnic Institute" Kiev; Extraction de Caractéristiques et Identification (imagine); Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS); Université Lumière - Lyon 2 (UL2)-École Centrale de Lyon (ECL); Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL); Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon); Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Lumière - Lyon 2 (UL2)-École Centrale de Lyon (ECL); Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS); Beijing Institute of Technology (BIT); Faculty of Engineering Nottingham; University of Nottingham, UK (UON); Seoul National University Seoul (SNU); Pohang University of Science and Technology (POSTECH); Université Paris-Est (UPE); National University of Defense Technology China; Learning and recognition in vision (LEAR); Inria Grenoble - Rhône-Alpes; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Jean Kuntzmann (LJK); Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Centre National de la Recherche Scientifique (CNRS); University of Technology Sydney (UTS); National Key Laboratory for Parallel and Distributed Processing Changsha; Toyota Research Institute; Chinese Academy of Sciences Changchun Branch (CAS); University at Albany SUNY; State University of New York (SUNY); Hong Kong University of Science and Technology (HKUST); Florida Institute of Technology Melbourne; Australian National University (ANU); Networks Research Group (NICTA); National ICT Australia Ltd; University of Missouri Columbia (Mizzou); University of Missouri System; Naval Research Laboratory (NRL); Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (Fraunhofer IOSB); Fraunhofer (Fraunhofer-Gesellschaft); The Chinese University of Hong Kong Hong Kong (CUHK); Centre of Excellence for Robotic Vision Canberra; Australian Research Council Canberra (ARC); Graz University of Technology Graz (TU Graz); Electronics and Telecommunications Research Institute DaeJeon (ETRI); Zhejiang University Hangzhou, China; Institute of Automation - Chinese Academy of Sciences; Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision (LAMSADE); Université Paris Dauphine-PSL; Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Centre National de la Recherche Scientifique (CNRS); Department of Electrical Engineering Korea Advanced Institute of Science and Technology (KAIST); Korea Advanced Institute of Science and Technology (KAIST); Centre Maurice Halbwachs (CMH); École des hautes études en sciences sociales (EHESS)-Centre National de la Recherche Scientifique (CNRS)-Département de Sciences sociales ENS-PSL; École normale supérieure - Paris (ENS-PSL); Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-École normale supérieure - Paris (ENS-PSL); Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL); Harbin Engineering University (HRBEU); University of Surrey (UNIS); University of Oxford; Harbin Institute of Technology (HIT); Obvious Enginerring; Laboratoire de Physique Corpusculaire - Clermont-Ferrand (LPC); Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS); University of California Los Angeles (UCLA); University of California (UC); Laboratoire Interfaces et Systèmes Electrochimiques (LISE); Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut de Chimie - CNRS Chimie (INC-CNRS)-Centre National de la Recherche Scientifique (CNRS); Electronics and Telecommunications Research Institute; Rice University Houston; University of New Orleans; National Key Laboratory of Crop Genetic Improvement; Sichuan University, College of Life Sciences-Huazhong Agricultural University Wuhan (HZAU); Key Laboratory for Anisotropy and Texture of Materials; Northeastern University Shenyang; Institut de minéralogie, de physique des matériaux et de cosmochimie (IMPMC); Muséum national d'Histoire naturelle (MNHN)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut de recherche pour le développement IRD : UR206-Centre National de la Recherche Scientifique (CNRS); School of Materials Science and Engineering; Shanghai University; State Key Laboratory of Marine Geology Shanghai; Tongji University
    • بيانات النشر:
      HAL CCSD
      IEEE
    • الموضوع:
      2015
    • Collection:
      Université Paris-Dauphine: HAL
    • الموضوع:
      Santiago; Chile
    • نبذة مختصرة :
      International audience ; 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.
    • الرقم المعرف:
      10.1109/ICCVW.2015.79
    • الدخول الالكتروني :
      https://hal.science/hal-01336773
      https://hal.science/hal-01336773v1/document
      https://hal.science/hal-01336773v1/file/Kristan2015The.pdf
      https://doi.org/10.1109/ICCVW.2015.79
    • Rights:
      info:eu-repo/semantics/OpenAccess
    • الرقم المعرف:
      edsbas.A48E6F2B