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2011 IEEE Fifth International Conference on Semantic Computing
Linking Computer Vision with Off-the-Shelf Accelerometry through Kinetic Energy for Precise Localization
Palo Alto, California USA
September 18-September 21
ISBN: 978-0-7695-4492-2
| ASCII Text | x | ||
| Eladio Martin, Victor Shia, Posu Yan, Philip Kuryloski, Edmund Seto, Venkatesan Ekambaram, Ruzena Bajcsy, "Linking Computer Vision with Off-the-Shelf Accelerometry through Kinetic Energy for Precise Localization," 2012 IEEE Sixth International Conference on Semantic Computing, pp. 239-242, 2011 IEEE Fifth International Conference on Semantic Computing, 2011. | |||
| BibTex | x | ||
| @article{ 10.1109/ICSC.2011.26, author = {Eladio Martin and Victor Shia and Posu Yan and Philip Kuryloski and Edmund Seto and Venkatesan Ekambaram and Ruzena Bajcsy}, title = {Linking Computer Vision with Off-the-Shelf Accelerometry through Kinetic Energy for Precise Localization}, journal ={2012 IEEE Sixth International Conference on Semantic Computing}, volume = {0}, year = {2011}, isbn = {978-0-7695-4492-2}, pages = {239-242}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICSC.2011.26}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - 2012 IEEE Sixth International Conference on Semantic Computing TI - Linking Computer Vision with Off-the-Shelf Accelerometry through Kinetic Energy for Precise Localization SN - 978-0-7695-4492-2 SP239 EP242 A1 - Eladio Martin, A1 - Victor Shia, A1 - Posu Yan, A1 - Philip Kuryloski, A1 - Edmund Seto, A1 - Venkatesan Ekambaram, A1 - Ruzena Bajcsy, PY - 2011 KW - localization KW - sensor fusion VL - 0 JA - 2012 IEEE Sixth International Conference on Semantic Computing ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICSC.2011.26
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.
Index Terms:
localization, sensor fusion
Citation:
Eladio Martin, Victor Shia, Posu Yan, Philip Kuryloski, Edmund Seto, Venkatesan Ekambaram, Ruzena Bajcsy, "Linking Computer Vision with Off-the-Shelf Accelerometry through Kinetic Energy for Precise Localization," icsc, pp.239-242, 2011 IEEE Fifth International Conference on Semantic Computing, 2011
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