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Motion Images: An Effective Representation of Motion Capture Data for Similarity Search

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F15%3A00080885" target="_blank" >RIV/00216224:14330/15:00080885 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-319-25087-8_24" target="_blank" >http://dx.doi.org/10.1007/978-3-319-25087-8_24</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-25087-8_24" target="_blank" >10.1007/978-3-319-25087-8_24</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Motion Images: An Effective Representation of Motion Capture Data for Similarity Search

  • Original language description

    The rapid development of motion capturing technologies has caused a massive usage of human motion data in a variety of fields, such as computer animation, gaming industry, medicine, sports and security. These technologies produce large volumes of complexspatio-temporal data which need to be effectively compared on the basis of similarity. In contrast to a traditional way of extracting numerical features, we propose a new idea to transform complex motion data into RGB images and compare them by content-based image retrieval methods. We see transformed RGB images as suitable application-independent features for their ability to preserve key aspects of performed motions. To demonstrate the usability of this idea, we evaluate a preliminary experiment thatclassifies 1,034 motions into 14 categories with the 87.4% precision.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GBP103%2F12%2FG084" target="_blank" >GBP103/12/G084: Center for Large Scale Multi-modal Data Interpretation</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2015

  • 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 8th International Conference on Similarity Search and Applications (SISAP 2015), LNCS 9371

  • ISBN

    9783319250861

  • ISSN

    0302-9743

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    250-255

  • Publisher name

    Springer

  • Place of publication

    Switzerland

  • Event location

    Glasgow, Scotland, UK

  • Event date

    Jan 1, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article