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SIFT-Based Indoor Localization for Older Adults Using Wearable Camera
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Apr 2015
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Source: Proc IEEE Annu Northeast Bioeng Conf. 2015; 2015.
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Alternative Title:Proc IEEE Annu Northeast Bioeng Conf
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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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Pubmed ID:26190909
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Pubmed Central ID:PMC4502573
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Volume:2015
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[PDF-786.63 KB]
