Abstract
•A multiresolution random projection for image representation is presented.•An indoor scene description for visually impaired people is proposed.•Experiments are conducted on four different indoor datasets.•Results qualify the framework for a near-real time blind assistance technology.
Object recognition forms a substantial need for blind and visually impaired individuals. This paper proposes a new multiobject recognition framework. It consists of coarsely checking the presence of multiple objects in a portable camera-grabbed image at a considered indoor site. The outcome is a list of objects that likely appear in the indoor scene. Such description is meant to uplift the conscience of the blind person in order to better sense his/her surroundings. The method consists of a library containing (i) a bunch of images represented by means of the Random Projections (RP) technique and (ii) their respective list of objects, both prepared offline. Thus, given an online shot image, its RP representation is generated and matched to the RP patterns of library images. It thus inherits the objects of the closest image from the library. Extensive experiments returned promising recognition accuracies and a processing lapse of real-time standard.