Team for Research in
Ubiquitous Secure Technology

Citation
Eladio Martin, Victor Shia, Posu Yan, Philip Kuryloski, Edmund Y.W. Seto, Venkatesan Ekambaram, Ruzena Bajcsy. "Linking Computer Vision with Off-the-Shelf Accelerometry through Kinetic Energy for Precise Localization". 5th IEEE International Conference on Semantic Computing (ICSC), IEEE, pp.239-242, 18, September, 2011.

Abstract
In this paper we propose the integration of computer vision with accelerometry in order to provide a precise localization solution. In terms of accelerometry, our approach makes use of a single off-the-shelf accelerometer on the waist to precisely obtain the velocity of the user. This allows us to calculate the kinetic energy of the person being tracked, and link the accelerometry data with the computer vision part of the system, where we employ segmentation of local regions of motion in the motion history image to estimate movement, and we leverage the number of pixels within the movement silhouettes as a metric accounting for the kinetic energy and the distance to the camera for the person being tracked. The fusion of the data from both technologies with a Kalman filter delivers an accuracy in the localization solution of up to 0.5 meters.

Electronic downloads

• http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6061340

• HTML

  Eladio Martin, Victor Shia, Posu Yan, Philip Kuryloski,
  Edmund Y.W. Seto, Venkatesan Ekambaram, Ruzena Bajcsy. <a
  href="http://www.truststc.org/pubs/868.html"
  >Linking Computer Vision with Off-the-Shelf Accelerometry
  through Kinetic Energy for Precise Localization</a>,
  5th IEEE International Conference on Semantic Computing
  (ICSC), IEEE, pp.239-242, 18, September, 2011.

• Plain text

  Eladio Martin, Victor Shia, Posu Yan, Philip Kuryloski,
  Edmund Y.W. Seto, Venkatesan Ekambaram, Ruzena Bajcsy.
  "Linking Computer Vision with Off-the-Shelf
  Accelerometry through Kinetic Energy for Precise
  Localization". 5th IEEE International Conference on
  Semantic Computing (ICSC), IEEE, pp.239-242, 18, September,
  2011.

• BibTeX

  @inproceedings{MartinShiaYanKuryloskiSetoEkambaramBajcsy11_LinkingComputerVisionWithOfftheShelfAccelerometryThrough,
      author = {Eladio Martin and Victor Shia and Posu Yan and
                Philip Kuryloski and Edmund Y.W. Seto and
                Venkatesan Ekambaram and Ruzena Bajcsy},
      title = {Linking Computer Vision with Off-the-Shelf
                Accelerometry through Kinetic Energy for Precise
                Localization},
      booktitle = {5th IEEE International Conference on Semantic
                Computing (ICSC)},
      organization = {IEEE},
      pages = {pp.239-242},
      day = {18},
      month = {September},
      year = {2011},
      abstract = {In this paper we propose the integration of
                computer vision with accelerometry in order to
                provide a precise localization solution. In terms
                of accelerometry, our approach makes use of a
                single off-the-shelf accelerometer on the waist to
                precisely obtain the velocity of the user. This
                allows us to calculate the kinetic energy of the
                person being tracked, and link the accelerometry
                data with the computer vision part of the system,
                where we employ segmentation of local regions of
                motion in the motion history image to estimate
                movement, and we leverage the number of pixels
                within the movement silhouettes as a metric
                accounting for the kinetic energy and the distance
                to the camera for the person being tracked. The
                fusion of the data from both technologies with a
                Kalman filter delivers an accuracy in the
                localization solution of up to 0.5 meters.},
      URL = {http://www.truststc.org/pubs/868.html}
  }
  

Posted by Mary Stewart on 4 Apr 2012.
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