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