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SIFT-Based Indoor Localization for Older Adults Using Wearable Camera
  • Published Date:
    Apr 2015
  • Source:
    Proc IEEE Annu Northeast Bioeng Conf. 2015; 2015.
Filetype[PDF - 786.63 KB]


Details:
  • Personal Authors:
  • Pubmed ID:
    26190909
  • Pubmed Central ID:
    PMC4502573
  • Funding:
    R01 CA165255/CA/NCI NIH HHS/United States
    R21 CA172864/CA/NCI NIH HHS/United States
    U48 DP001918/DP/NCCDPHP CDC HHS/United States
  • Document Type:
    Journal Article
  • Collection(s):
    CDC Public Access
  • Description:
    This paper presents an image-based indoor localization system for tracking older individuals' movement at home. In this system, images are acquired at a low frame rate by a miniature camera worn conveniently at the chest position. The correspondence between adjacent frames is first established by matching the SIFT (scale-invariant feature transform) based key points in a pair of images. The location changes of these points are then used to estimate the position of the wearer based on use of the pinhole camera model. A preliminary study conducted in an indoor environment indicates that the location of the wearer can be estimated with an adequate accuracy.

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