Title :
Efficient stairs detection algorithm Assisted navigation for vision impaired people
Author :
Carbonara, Sara ; Guaragnella, Cataldo
Author_Institution :
DEI - Electrics & Inf. Eng. Dept., Politec. di Bari, Bari, Italy
Abstract :
An efficient implementation of a real time stair detection system is proposed, for an implementation on a smartphone to help world awareness for vision impaired people. The proposed algorithm uses an efficient image processing to detect the presence of stairs and its location within the image. Preliminary results of the developing system are presented.
Keywords :
assisted living; handicapped aids; object detection; smart phones; assisted navigation; image processing; real time stair detection system; smartphone; stairs detection algorithm; vision impaired people; world awareness; Algorithm design and analysis; Cameras; Fourier transforms; Frequency-domain analysis; Image edge detection; Navigation; Assisted navigation; Smartphone; edge detection; morphological operators; stairs detection; visual impaired;
Conference_Titel :
Innovations in Intelligent Systems and Applications (INISTA) Proceedings, 2014 IEEE International Symposium on
Conference_Location :
Alberobello
Print_ISBN :
978-1-4799-3019-7
DOI :
10.1109/INISTA.2014.6873637