• DocumentCode
    3427839
  • Title

    Pose-Configurable Generic Tracking of Elongated Objects

  • Author

    Wesierski, Daniel ; Horain, Patrick

  • Author_Institution
    Multimedia Syst. Dept., Gdansk Univ. of Technol., Gdansk, Poland
  • fYear
    2013
  • fDate
    1-8 Dec. 2013
  • Firstpage
    2920
  • Lastpage
    2927
  • Abstract
    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.
  • Keywords
    object tracking; pose estimation; complex structure-free algorithms; constant appearance; elongated objects; global orientations; image plane; local distances; object appearance; pose-configurable generic tracking; spatio-temporal constraints; Computational modeling; Histograms; Image color analysis; Image segmentation; Robustness; Shape; Tracking; configurable tracking; generic tracking; tracking elongated objects; tracking longitudinal objects; visual object tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision (ICCV), 2013 IEEE International Conference on
  • Conference_Location
    Sydney, NSW
  • ISSN
    1550-5499
  • Type

    conf

  • DOI
    10.1109/ICCV.2013.363
  • Filename
    6751474