SIFT-Based Indoor Localization for Older Adults Using Wearable Camera

Zhang, Boxue; Zhao, Qi; Feng, Wenquan; Sun, Mingui; Jia, Wenyan

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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.

[PDF-786.63 KB]

Details:

Alternative Title:

Proc IEEE Annu Northeast Bioeng Conf

Personal Author:

Zhang, Boxue ; Zhao, Qi ; Feng, Wenquan ; Sun, Mingui ; Jia, Wenyan ;

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.

Subject:

[+]

Pubmed ID:

26190909

Pubmed Central ID:

PMC4502573

Document Type:

Journal Article

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 ;

Collection(s):

CDC Public Access

Main Document Checksum:

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Supporting Files:

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