• DocumentCode
    3745934
  • Title

    The Thermal Infrared Visual Object Tracking VOT-TIR2015 Challenge Results

  • Author

    Karteek Alahari;Amanda Berg;Gustav Hager;Jorgen Ahlberg;Matej Kristan;Jiri Matas;Ale Leonardis;Luka Cehovin;Gustavo Fernandez;Toma Vojir;Georg Nebehay;Roman Pflugfelder;Alan Lukezic;Alvaro Garcia-Martin;Amir Saffari; Ang Li;Andrés Solis Montero; B

  • Author_Institution
    INRIA Grenoble Rhó
  • fYear
    2015
  • Firstpage
    639
  • Lastpage
    651
  • Abstract
    The Thermal Infrared Visual Object Tracking challenge 2015, VOT-TIR2015, aims at comparing short-term single-object visual trackers that work on thermal infrared (TIR) sequences and do not apply pre-learned models of object appearance. VOT-TIR2015 is the first benchmark on short-term tracking in TIR sequences. Results of 24 trackers are presented. For each participating tracker, a short description is provided in the appendix. The VOT-TIR2015 challenge is based on the VOT2013 challenge, but introduces the following novelties: (i) the newly collected LTIR (Link -- ping TIR) dataset is used, (ii) the VOT2013 attributes are adapted to TIR data, (iii) the evaluation is performed using insights gained during VOT2013 and VOT2014 and is similar to VOT2015.
  • Keywords
    "Target tracking","Visualization","Benchmark testing","Cameras","Object tracking","Australia"
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision Workshop (ICCVW), 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/ICCVW.2015.86
  • Filename
    7406435
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3745934