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  Markerless Motion Capture with Unsynchronized Moving Cameras

Hasler, N., Rosenhahn, B., Thormählen, T., Wand, M., Gall, J., & Seidel, H.-P. (2009). Markerless Motion Capture with Unsynchronized Moving Cameras. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009) (pp. 224-231). Washington DC, USA: IEEE Computer Society.

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Datensatz-Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-19BB-0 Versions-Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-19BC-E
Genre: Konferenzbeitrag

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 Urheber:
Hasler, Nils1, Autor           
Rosenhahn, Bodo1, Autor           
Thormählen, Thorsten1, Autor           
Wand, Michael1, Autor           
Gall, Jürgen1, Autor           
Seidel, Hans-Peter1, Autor           
Affiliations:
1Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              

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Schlagwörter: -
 Zusammenfassung: In this work we present an approach for markerless motion capture (MoCap) of articulated objects, which are recorded with multiple unsynchronized moving cameras. Instead of using fixed (and expensive) hardware synchronized cameras, this approach allows us to track people with off-the-shelf handheld video ca\-me\-ras. To prepare a sequence for motion capture, we first reconstruct the static background and the position of each camera using Structure-from-Motion (SfM). Then the cameras are registered to each other using the reconstructed static background geometry. Camera synchronization is achieved via the audio streams recorded by the ca\-me\-ras in parallel. Finally, a markerless MoCap approach is applied to recover positions and joint configurations of subjects. Feature tracks and dense background geometry are further used to stabilize the MoCap. The ex\-pe\-ri\-ments show examples with highly challenging indoor and outdoor scenes.

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Sprache(n): eng - English
 Datum: 2010-01-122009
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: Washington DC, USA : IEEE Computer Society
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: eDoc: 520486
DOI: 10.1109/CVPRW.2009.5206859
Anderer: Local-ID: C125675300671F7B-5D7FAF825CA490EAC1257583004C7FFC-HasRosThoWanGalSei09Audio
 Art des Abschluß: -

Veranstaltung

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Titel: Untitled Event
Veranstaltungsort: Miami, USA
Start-/Enddatum: 2009-06-20 - 2009-06-25

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Titel: IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009)
Genre der Quelle: Konferenzband
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: Washington DC, USA : IEEE Computer Society
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: 224 - 231 Identifikator: -