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Software for visual insect tracking based on F-transform pattern matching

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F18%3AA1901V0Q" target="_blank" >RIV/61988987:17610/18:A1901V0Q - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/DSMP.2018.8478585" target="_blank" >http://dx.doi.org/10.1109/DSMP.2018.8478585</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/DSMP.2018.8478585" target="_blank" >10.1109/DSMP.2018.8478585</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Software for visual insect tracking based on F-transform pattern matching

  • Original language description

    We introduce a problem of tracking small animals, especially insects. To solve this problem, we focus on visual tracking in recorded movies, propose our pattern tracking mechanism based on F-transform, and implement a user-friendly software to handle the movies. The tracking core is compared with five state-of-the-art tracking algorithms: KCF, MIL, TLD, Boosting and MedianFlow from processing time and algorithm failure rate point of views. Based on the results computed from 1000 movie frames, we observed that the proposed F-transform tracking core is the fastest and the most reliable method.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10102 - Applied mathematics

Result continuities

  • Project

    <a href="/en/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 2018 IEEE Second International Conference on Data Stream Mining & Processing (DSMP)

  • ISBN

    978-1-5386-8175-6

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    528-533

  • Publisher name

    IEEE

  • Place of publication

    New Jersey

  • Event location

    Lviv

  • Event date

    Aug 21, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000448930300099