DocumentCode :
2977317
Title :
A mobile visual navigation device: New algorithms for crosswalk and pictogram recognition
Author :
Karacs, Kristóf ; Radvanyi, Mihaly ; Görög, Márton ; Kusnyerik, Ákos ; Roska, Tamás
Author_Institution :
Fac. of Inf. Technol., Pazmany Peter Catholic Univ., Budapest, Hungary
fYear :
2009
fDate :
24-27 Nov. 2009
Firstpage :
1
Lastpage :
2
Abstract :
The ability of gaining visual information from the environment can be of utmost importance for visually impaired and blind people. Our experimental system, consisting of a cell phone and a compact cellular visual computer, is able to detect and recognize objects and understand basic events around the user in predefined situations to help them in everyday tasks. We developed algorithms for two important new tasks: pedestrian crosswalk detection and identification of gender pictograms.
Keywords :
cellular radio; mobile computing; object detection; object recognition; blind people; cell phone; compact cellular visual computer; crosswalk recognition; gender pictogram identification; mobile visual navigation device; object detection; object recognition; pedestrian crosswalk detection; pictogram recognition; visually-impaired people; Cellular networks; Cellular phones; Computer networks; Event detection; Gray-scale; Information technology; Navigation; Object detection; Portable computers; Prototypes; cellular computing; personal navigation; visual impairment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applied Sciences in Biomedical and Communication Technologies, 2009. ISABEL 2009. 2nd International Symposium on
Conference_Location :
Bratislava
Print_ISBN :
978-1-4244-4640-7
Electronic_ISBN :
978-1-4244-4641-4
Type :
conf
DOI :
10.1109/ISABEL.2009.5373630
Filename :
5373630
Link To Document :
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