Title :
Defocussing estimation for obstacle detection on single camera smartphone Assisted navigation for vision impaired people
Author :
Grassi, A. ; Guaragnella, Cataldo
Author_Institution :
DEI: Electrics & Inf. Eng. Dept., Politec. di Bari, Bari, Italy
Abstract :
An efficient application has been developed to detect close obstacles using a single smartphone camera and give speech information to vision impaired people. The proposed algorithm uses a simple technique aimed at measuring the local estimated image defocussing to roughly estimate its closeness to the camera. Preliminary results of the developing system are presented.
Keywords :
cameras; collision avoidance; handicapped aids; object detection; smart phones; assisted navigation; camera closeness estimation; defocussing estimation; local estimated image defocussing; obstacle detection; single camera smartphone; speech information; vision impaired people; Algorithm design and analysis; Digital cameras; Image edge detection; Mobile handsets; Navigation; Software algorithms; Assisted navigation; Obstacle detection and avoidance; Smartphone; 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.2014.6873636
