چکیده (انگلیسی):

The rapid development of Information and Communication
Technology (ICT) enhances the government services to its citizen. As a
consequence affects the exchange of information between citizen and
government. However, some groups can experience some difficulties
accessing the government services due to disabilities, such as blind people
as well as material and geographical constraints. This paper aims to
introduce a novel approach for place recognition to help the blind people to
navigate inside a government building based on the correlation degree for
the covariance feature vectors. However, this approach faces several
challenges. One of the fundamental challenges inaccurate indoor place
recognition for the visual impaired people is the presence of similar scene
images in different places in the environmental space of the mobile robot
system, such as a computer or office table in many rooms. This problem
causes bewilderment and confusion among different places. To overcome
this, the local features of these image scenes should be represented in more
discriminatory and robustly way. However, to perform this, the spatial
relation of the local features should be considered. The findings revealed
that this approach has a stable manner due to its reliability in the place
recognition for the robot localization. Finally, the proposed Covariance
approach gives an intelligent way for visual place people localization
through the correlation of Covariance feature vectors for the scene images.