Automatic framework for tracking honeybee's antennae and mouthparts from low framerate video

Lade...
Vorschaubild
Dateien
Shen_261195.pdf
Shen_261195.pdfGröße: 119.13 KBDownloads: 337
Datum
2013
Herausgeber:innen
Kontakt
ISSN der Zeitschrift
Electronic ISSN
ISBN
Bibliografische Daten
Verlag
Schriftenreihe
Auflagebezeichnung
ArXiv-ID
Internationale Patentnummer
Angaben zur Forschungsförderung
Projekt
Open Access-Veröffentlichung
Open Access Green
Core Facility der Universität Konstanz
Gesperrt bis
Titel in einer weiteren Sprache
Forschungsvorhaben
Organisationseinheiten
Zeitschriftenheft
Publikationstyp
Beitrag zu einem Konferenzband
Publikationsstatus
Published
Erschienen in
2013 IEEE International Conference on Image Processing. IEEE, 2013, pp. 4112-4116. ISBN 978-1-4799-2341-0. Available under: doi: 10.1109/ICIP.2013.6738847
Zusammenfassung

Automatic tracking of the movement of bee's antennae and mouthparts is necessary for studying associative learning of individuals. However, the problem of tracking them is challenging: First, the different classes of objects possess similar appearance and are close to each other. Second, tracking gaps are often present, due to the low frame-rate of the acquired video and the fast motion of the objects. Most existing insect tracking approaches have been developed for slow moving objects, and are not suitable for this application. In this paper, a novel Bayesian framework is proposed to automatically track bees' antennae and their mouthparts. This framework incorporates information about their kinematics, shape, order and temporal correlation between neighboring frames. Experimental evaluation demonstrates the effectiveness and efficiency of the proposed framework.

Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
570 Biowissenschaften, Biologie
Schlagwörter
Konferenz
2013 20th IEEE International Conference on Image Processing (ICIP), 15. Sept. 2013 - 18. Sept. 2013, Melbourne, Australia
Rezension
undefined / . - undefined, undefined
Zitieren
ISO 690SHEN, Minmin, Paul SZYSZKA, C. Giovanni GALIZIA, Dorit MERHOF, 2013. Automatic framework for tracking honeybee's antennae and mouthparts from low framerate video. 2013 20th IEEE International Conference on Image Processing (ICIP). Melbourne, Australia, 15. Sept. 2013 - 18. Sept. 2013. In: 2013 IEEE International Conference on Image Processing. IEEE, 2013, pp. 4112-4116. ISBN 978-1-4799-2341-0. Available under: doi: 10.1109/ICIP.2013.6738847
BibTex
@inproceedings{Shen2013-09Autom-26119,
  year={2013},
  doi={10.1109/ICIP.2013.6738847},
  title={Automatic framework for tracking honeybee's antennae and mouthparts from low framerate video},
  isbn={978-1-4799-2341-0},
  publisher={IEEE},
  booktitle={2013 IEEE International Conference on Image Processing},
  pages={4112--4116},
  author={Shen, Minmin and Szyszka, Paul and Galizia, C. Giovanni and Merhof, Dorit}
}
RDF
<rdf:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/26119">
    <dc:contributor>Galizia, C. Giovanni</dc:contributor>
    <dc:creator>Merhof, Dorit</dc:creator>
    <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
    <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/26119"/>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/26119/2/Shen_261195.pdf"/>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dc:rights>terms-of-use</dc:rights>
    <dc:language>eng</dc:language>
    <dc:creator>Szyszka, Paul</dc:creator>
    <dc:creator>Shen, Minmin</dc:creator>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/52"/>
    <dcterms:abstract xml:lang="eng">Automatic tracking of the movement of bee's antennae and mouthparts is necessary for studying associative learning of individuals. However, the problem of tracking them is challenging: First, the different classes of objects possess similar appearance and are close to each other. Second, tracking gaps are often present, due to the low frame-rate of the acquired video and the fast motion of the objects. Most existing insect tracking approaches have been developed for slow moving objects, and are not suitable for this application. In this paper, a novel Bayesian framework is proposed to automatically track bees' antennae and their mouthparts. This framework incorporates information about their kinematics, shape, order and temporal correlation between neighboring frames. Experimental evaluation demonstrates the effectiveness and efficiency of the proposed framework.</dcterms:abstract>
    <dc:contributor>Shen, Minmin</dc:contributor>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/52"/>
    <dcterms:title>Automatic framework for tracking honeybee's antennae and mouthparts from low framerate video</dcterms:title>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/28"/>
    <dc:creator>Galizia, C. Giovanni</dc:creator>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2014-02-17T14:33:45Z</dcterms:available>
    <dc:contributor>Merhof, Dorit</dc:contributor>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2014-02-17T14:33:45Z</dc:date>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/28"/>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:contributor>Szyszka, Paul</dc:contributor>
    <dcterms:issued>2013-09</dcterms:issued>
    <dcterms:bibliographicCitation>ICIP 2013 : IEEE International Conference on Image Processing, Sept. 15 - 18, 2013, Melbourne, Australia / International Conference on Image Processing &lt;2013, Melbourne&gt;. - Piscataway, NJ : IEEE, 2013. - S. 4112 - 4116. - ISBN 978-1-4673-2532-5</dcterms:bibliographicCitation>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/26119/2/Shen_261195.pdf"/>
  </rdf:Description>
</rdf:RDF>
Interner Vermerk
xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter
Kontakt
URL der Originalveröffentl.
Prüfdatum der URL
Prüfungsdatum der Dissertation
Finanzierungsart
Kommentar zur Publikation
Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Ja
Begutachtet
Diese Publikation teilen