The Thermal Infrared Visual Object Tracking VOT-TIR2015 Challenge Results

Michael Felsberg, Amanda Berg, Gustav Häger, Jörgen Ahlberg, Matej Kristan, Jiri Matas, Aleš Leonardis, Luka Čehovin, Gustavo Fernández, Tomáš Vojír˜, Georg Nebehay, Roman Pflugfelder, Alan Lukežič, Alvaro Garcia-Martin, Amir Saffari, Ang Li, Andrés Solís Montero, Baojun Zhao, Cordelia Schmid, Dapeng ChenDawei Du, Fahad Shahbaz Khan, Fatih Porikli, Gao Zhu, Guibo Zhu, Hanqing Lu, Hilke Kieritz, Hongdong Li, Honggang Qi, Jae Chan Jeong, Jae Il Cho, Jae Yeong Lee, Jianke Zhu, Jiatong Li, Jiayi Feng, Jinqiao Wang, Ji Wan Kim, Jochen Lang, Jose M. Martinez, Kai Xue, Karteek Alahari, Liang Ma, Lipeng Ke, Longyin Wen, Luca Bertinetto, Martin Danelljan, Michael Arens, Ming Tang, Ming Ching Chang, Ondrej Miksik, Philip H.S. Torr, Rafael Martin-Nieto, Robert Laganière, Sam Hare, Siwei Lyu, Song Chun Zhu, Stefan Becker, Stephen L. Hicks, Stuart Golodetz, Sunglok Choi, Tianfu Wu, Wolfgang Hübner, Xu Zhao, Yang Hua, Yang Li, Yang Lu, Yuezun Li, Zejian Yuan, Zhibin Hong

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    45 Citations (Scopus)

    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.

    Original languageEnglish
    Title of host publicationProceedings - 2015 IEEE International Conference on Computer Vision Workshops, ICCVW 2015
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages639-651
    Number of pages13
    ISBN (Electronic)9781467383905
    DOIs
    Publication statusPublished - 11 Feb 2016
    Event15th IEEE International Conference on Computer Vision Workshops, ICCVW 2015 - Santiago, Chile
    Duration: 11 Dec 201518 Dec 2015

    Publication series

    NameProceedings of the IEEE International Conference on Computer Vision
    Volume2015-February
    ISSN (Print)1550-5499

    Conference

    Conference15th IEEE International Conference on Computer Vision Workshops, ICCVW 2015
    Country/TerritoryChile
    CitySantiago
    Period11/12/1518/12/15

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