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  • Kristan, MatejUniversity of Ljubljana, Slovenia (author)

The Visual Object Tracking VOT2013 challenge results

  • Article/chapterEnglish2013

Publisher, publication year, extent ...

  • IEEE,2013
  • electronicrdacarrier

Numbers

  • LIBRIS-ID:oai:DiVA.org:liu-135710
  • https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-135710URI
  • https://doi.org/10.1109/ICCVW.2013.20DOI

Supplementary language notes

  • Language:English
  • Summary in:English

Part of subdatabase

Classification

  • Subject category:ref swepub-contenttype
  • Subject category:kon swepub-publicationtype

Notes

  • Visual tracking has attracted a significant attention in the last few decades. The recent surge in the number of publications on tracking-related problems have made it almost impossible to follow the developments in the field. One of the reasons is that there is a lack of commonly accepted annotated data-sets and standardized evaluation protocols that would allow objective comparison of different tracking methods. To address this issue, the Visual Object Tracking (VOT) workshop was organized in conjunction with ICCV2013. Researchers from academia as well as industry were invited to participate in the first VOT2013 challenge which aimed at single-object visual trackers that do not apply pre-learned models of object appearance (model-free). Presented here is the VOT2013 benchmark dataset for evaluation of single-object visual trackers as well as the results obtained by the trackers competing in the challenge. In contrast to related attempts in tracker benchmarking, the dataset is labeled per-frame by visual attributes that indicate occlusion, illumination change, motion change, size change and camera motion, offering a more systematic comparison of the trackers. Furthermore, we have designed an automated system for performing and evaluating the experiments. We present the evaluation protocol of the VOT2013 challenge and the results of a comparison of 27 trackers on the benchmark dataset. The dataset, the evaluation tools and the tracker rankings are publicly available from the challenge website(1).

Subject headings and genre

Added entries (persons, corporate bodies, meetings, titles ...)

  • Pflugfelder, RomanAustrian Institute Technology, Austria (author)
  • Leonardis, AlesUniversity of Birmingham, England (author)
  • Matas, JiriCzech Technical University, Czech Republic (author)
  • Porikli, FatihAustralian National University, Australia (author)
  • Cehovin, LukaUniversity of Ljubljana, Slovenia (author)
  • Nebehay, GeorgAustrian Institute Technology, Austria (author)
  • Fernandez, GustavoAustrian Institute Technology, Austria (author)
  • Vojir, TomasCzech Technical University, Czech Republic (author)
  • Gatt, AdamDSTO, Australia (author)
  • Khajenezhad, AhmadSharif University of Technology, Iran (author)
  • Salahledin, AhmedNile University, Egypt (author)
  • Soltani-Farani, AliSharif University of Technology, Iran (author)
  • Zarezade, AliSharif University of Technology, Iran (author)
  • Petrosino, AlfredoParthenope University of Naples, Italy (author)
  • Milton, AnthonyUniversity of S Australia, Australia (author)
  • Bozorgtabar, BehzadUniversity of Canberra, Australia (author)
  • Li, BoPanason RandD Centre, Singapore (author)
  • Seng Chan, CheeUniversity of Malaya, Malaysia (author)
  • Heng, CherKengPanason RandD Centre, Singapore (author)
  • Ward, DaleUniversity of S Australia, Australia (author)
  • Kearney, DavidUniversity of S Australia, Australia (author)
  • Monekosso, DorothyUniversity of W England, England (author)
  • Can Karaimer, HakkiIzmir Institute Technology, Turkey (author)
  • Rabiee, Hamid R.Sharif University of Technology, Iran (author)
  • Zhu, JiankeZhejiang University, Peoples R China (author)
  • Gao, JinChinese Academic Science, Peoples R China (author)
  • Xiao, JingjingUniversity of Birmingham, England (author)
  • Zhang, JungeChinese Academic Science, Peoples R China (author)
  • Xing, JunliangChinese Academic Science, Peoples R China (author)
  • Huang, KaiqiChinese Academic Science, Peoples R China (author)
  • Lebeda, KarelUniversity of Surrey, England (author)
  • Cao, LijunChinese Academic Science, Peoples R China (author)
  • Edoardo Maresca, MarioParthenope University of Naples, Italy (author)
  • Kuan Lim, MeiUniversity of Malaya, Malaysia (author)
  • ELHelw, MohamedNile University, Egypt (author)
  • Felsberg, MichaelLinköpings universitet,Datorseende,Tekniska fakulteten,Centrum för medicinsk bildvetenskap och visualisering, CMIV(Swepub:liu)micfe03 (author)
  • Remagnino, PaoloUniversity of Kingston, Canada (author)
  • Bowden, RichardUniversity of Surrey, England (author)
  • Goecke, RolandAustralian National University, Australia (author)
  • Stolkin, RustamUniversity of Birmingham, England (author)
  • YueYing Lim, SamanthaPanason RandD Centre, Singapore (author)
  • Maher, SaraNile University, Egypt (author)
  • Poullot, SebastienJFLI, Japan (author)
  • Wong, SebastienDSTO, Edinburgh, SA, Australia (author)
  • Satoh, ShinichiNII, Japan (author)
  • Chen, WeihuaChinese Academic Science, Peoples R China (author)
  • Hu, WeimingChinese Academic Science, Peoples R China (author)
  • Zhang, XiaoqinChinese Academic Science, Peoples R China (author)
  • Li, YangZhejiang University, China (author)
  • Niu, ZhiHengPanason RandD Centre, Singapore (author)
  • University of Ljubljana, SloveniaAustrian Institute Technology, Austria (creator_code:org_t)

Related titles

  • In:2013 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW): IEEE, s. 98-1119781479930227

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