title: SIFT-Based Indoor Localization for Older Adults Using Wearable Camera.
abstract: 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.
authors.affiliation: School of Electronic and Information Engineering, Beihang University, Beijing, China.
authors.forename: Boxue
authors.initials: B
authors.lastname: Zhang
authors.affiliation: School of Electronic and Information Engineering, Beihang University, Beijing, China.
authors.forename: Qi
authors.initials: Q
authors.lastname: Zhao
authors.affiliation: School of Electronic and Information Engineering, Beihang University, Beijing, China.
authors.forename: Wenquan
authors.initials: W
authors.lastname: Feng
authors.affiliation: Department of Electrical & Computer Engineering, University of Pittsburgh, Pittsburgh, PA 15213, USA ; Department of Neurosurgery, University of Pittsburgh, Pittsburgh, PA 15213, USA.
authors.forename: Mingui
authors.initials: M
authors.lastname: Sun
authors.affiliation: Department of Neurosurgery, University of Pittsburgh, Pittsburgh, PA 15213, USA.
authors.forename: Wenyan
authors.initials: W
authors.lastname: Jia