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Pose-configurable generic tracking of elongated objects

  • Gdańsk University of Technology
  • Institut Mines-Télécom

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Résumé

Elongated objects have various shapes and can shift, rotate, change scale, and be rigid or deform by flexing, articulating, and vibrating, with examples as varied as a glass bottle, a robotic arm, a surgical suture, a finger pair, a tram, and a guitar string. This generally makes tracking of poses of elongated objects very challenging. We describe a unified, configurable framework for tracking the pose of elongated objects, which move in the image plane and extend over the image region. Our method strives for simplicity, versatility, and efficiency. The object is decomposed into a chained assembly of segments of multiple parts that are arranged under a hierarchy of tailored spatio-temporal constraints. In this hierarchy, segments can rescale independently while their elasticity is controlled with global orientations and local distances. While the trend in tracking is to design complex, structure-free algorithms that update object appearance on-line, we show that our tracker, with the novel but remarkably simple, structured organization of parts with constant appearance, reaches or improves state-of-the-art performance. Most importantly, our model can be easily configured to track exact pose of arbitrary, elongated objects in the image plane. The tracker can run up to 100 fps on a desktop PC, yet the computation time scales linearly with the number of object parts. To our knowledge, this is the first approach to generic tracking of elongated objects.

langue originaleAnglais
titreProceedings - 2013 IEEE International Conference on Computer Vision, ICCV 2013
EditeurInstitute of Electrical and Electronics Engineers Inc.
Pages2920-2927
Nombre de pages8
ISBN (imprimé)9781479928392
Les DOIs
étatPublié - 1 janv. 2013
Modification externeOui
Evénement2013 14th IEEE International Conference on Computer Vision, ICCV 2013 - Sydney, NSW, Australie
Durée: 1 déc. 20138 déc. 2013

Série de publications

NomProceedings of the IEEE International Conference on Computer Vision

Une conférence

Une conférence2013 14th IEEE International Conference on Computer Vision, ICCV 2013
Pays/TerritoireAustralie
La villeSydney, NSW
période1/12/138/12/13

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