Content
and Copyright
i
Superseded
This Document Has Been Replaced By:
i
Retired
This Document Has Been Retired
i
Up-to-date Information
This is the latest update:
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:
-
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:
-
Funding:
-
Collection(s):
-
Main Document Checksum:
- File Type:
-
Supporting Files:
application/octet-stream 
image/gif 
image/jpeg 
image/gif 
image/jpeg 
image/gif 
image/jpeg
No Related Documents.
Email
CDC-INFO
