3D-POP - An automated annotation approach to facilitate markerless 2D-3D tracking of freely moving birds with marker-based motion capture
| creativework.version | 6 | |
| dc.contributor.author | Naik, Hemal | |
| dc.contributor.author | Chan, Alex Hoi Hang | |
| dc.contributor.author | Yang, Junran | |
| dc.contributor.author | Delacoux, Mathilde | |
| dc.contributor.author | Couzin, Iain D. | |
| dc.contributor.author | Kano, Fumihiro | |
| dc.contributor.author | Nagy, Mate | |
| dc.date.accessioned | 2025-04-02T09:11:28Z | |
| dc.date.available | 2025-04-02T09:11:28Z | |
| dc.date.created | 2023-03-09T14:27:09.000Z | |
| dc.date.issued | 2023 | |
| dc.description.abstract | The 3DPOP dataset is a large scale 2D to 3D posture, identity and trajectory dataset for freely moving pigeons. We use marker-based motion tracking to first track precise head and body position and orientation for multiple individuals, then propagated custom keypoints based on the relative positions of markers and keypoints. | |
| dc.description.version | published | deu |
| dc.identifier.doi | 10.17617/3.hpbbc7 | |
| dc.identifier.uri | https://kops.uni-konstanz.de/handle/123456789/72869 | |
| dc.language.iso | eng | |
| dc.rights | Creative Commons Attribution 4.0 International | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/legalcode | |
| dc.subject | Biology | |
| dc.subject | Computer Science, Systems and Electrical Engineering | |
| dc.subject | Posture Tracking | |
| dc.subject | Computer Vision | |
| dc.subject | Motion Capture | |
| dc.subject | Homing Pigeon | |
| dc.subject | Identity Tracking | |
| dc.subject | 3D Posture tracking | |
| dc.subject | Computer Vision, Animal Behaviour, 2D Posture, 3D Posture | |
| dc.subject.ddc | 570 | |
| dc.title | 3D-POP - An automated annotation approach to facilitate markerless 2D-3D tracking of freely moving birds with marker-based motion capture | eng |
| dspace.entity.type | Dataset | |
| kops.citation.bibtex | ||
| kops.citation.iso690 | NAIK, Hemal, Hoi Hang CHAN, Junran YANG, Mathilde DELACOUX, Iain D. COUZIN, Fumihiro KANO, Mate NAGY, 2023. 3D-POP - An automated annotation approach to facilitate markerless 2D-3D tracking of freely moving birds with marker-based motion capture | deu |
| kops.citation.iso690 | NAIK, Hemal, Hoi Hang CHAN, Junran YANG, Mathilde DELACOUX, Iain D. COUZIN, Fumihiro KANO, Mate NAGY, 2023. 3D-POP - An automated annotation approach to facilitate markerless 2D-3D tracking of freely moving birds with marker-based motion capture | eng |
| kops.citation.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/123456789/72869">
<dc:creator>Delacoux, Mathilde</dc:creator>
<dc:contributor>Yang, Junran</dc:contributor>
<dcterms:title>3D-POP - An automated annotation approach to facilitate markerless 2D-3D tracking of freely moving birds with marker-based motion capture</dcterms:title>
<foaf:homepage rdf:resource="http://localhost:8080/"/>
<dc:contributor>Couzin, Iain D.</dc:contributor>
<dc:contributor>Kano, Fumihiro</dc:contributor>
<dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2025-04-02T09:11:28Z</dcterms:available>
<dc:creator>Kano, Fumihiro</dc:creator>
<dc:language>eng</dc:language>
<dc:contributor>Naik, Hemal</dc:contributor>
<dcterms:created rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2023-03-09T14:27:09.000Z</dcterms:created>
<dc:creator>Yang, Junran</dc:creator>
<dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2025-04-02T09:11:28Z</dc:date>
<dc:rights>Creative Commons Attribution 4.0 International</dc:rights>
<dcterms:issued>2023</dcterms:issued>
<dc:contributor>Delacoux, Mathilde</dc:contributor>
<bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/72869"/>
<void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
<dc:creator>Couzin, Iain D.</dc:creator>
<dcterms:abstract>The 3DPOP dataset is a large scale 2D to 3D posture, identity and trajectory dataset for freely moving pigeons. We use marker-based motion tracking to first track precise head and body position and orientation for multiple individuals, then propagated custom keypoints based on the relative positions of markers and keypoints.</dcterms:abstract>
<dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/71914"/>
<dc:creator>Naik, Hemal</dc:creator>
<dc:contributor>Nagy, Mate</dc:contributor>
<dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/71920"/>
<dc:creator>Chan, Hoi Hang</dc:creator>
<dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/71914"/>
<dc:contributor>Chan, Hoi Hang</dc:contributor>
<dcterms:rights rdf:resource="https://creativecommons.org/licenses/by/4.0/legalcode"/>
<dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/71920"/>
<dc:creator>Nagy, Mate</dc:creator>
</rdf:Description>
</rdf:RDF> | |
| kops.datacite.repository | Max Planck Digital Library | |
| kops.description.funding | {"first":"dfg","second":"422037984"} | |
| kops.flag.knbibliography | true | |
| relation.isAuthorOfDataset | 6d74ad25-4e80-4e66-8599-12f08d68ea00 | |
| relation.isAuthorOfDataset | 231939e9-a080-4f80-8e50-7f085d3588c5 | |
| relation.isAuthorOfDataset | 0cbdb35c-e595-47ce-a6f0-15d758ffc625 | |
| relation.isAuthorOfDataset | abfc0f52-a8df-4bc2-97b9-4d2317317bae | |
| relation.isAuthorOfDataset | 14812310-e250-46f4-b223-1fcbd1d25da1 | |
| relation.isAuthorOfDataset | 98a77749-fce3-446e-842e-255a2620a8ff | |
| relation.isAuthorOfDataset | 62952db4-d6e4-47f9-84e2-376b447bfb2f | |
| relation.isAuthorOfDataset.latestForDiscovery | 6d74ad25-4e80-4e66-8599-12f08d68ea00 | |
| relation.isPublicationOfDataset | 8a6aeb3d-404c-4a11-8a93-8002d1013a61 | |
| relation.isPublicationOfDataset.latestForDiscovery | 8a6aeb3d-404c-4a11-8a93-8002d1013a61 | |
| temp.internal.duplicates | items/8a6aeb3d-404c-4a11-8a93-8002d1013a61;true;3D-POP : An Automated Annotation Approach to Facilitate Markerless 2D-3D Tracking of Freely Moving Birds with Marker-Based Motion Capture |