Obstacle Detection of a Novel Travel Aid for Visual Impaired People

Author

Jie, Ying ; Yanbin, Song

Author_Institution

Sch. of Opt.-Electr. & Comput. Eng., Univ. of Shanghai for Sci. & Technol., Shanghai, China

Volume

2

fYear

2012

fDate

26-27 Aug. 2012

Firstpage

362

Lastpage

364

Abstract

An obstacles detection algorithm of a novel electronic travel aid for the blind based on stereo vision was proposed. Obstacles detection was realized using a self-adaptive threshold determination algorithm and image morphological processing. Experiments showed that the obstacle detection algorithm is effective and fast. The correct detection rate of obstacles is 96%, which is obtained using the consecutive stereo image sequences captured on the road.

Keywords

collision avoidance; handicapped aids; image segmentation; image sequences; object detection; pedestrians; stereo image processing; blind people; electronic travel aid; image morphological processing; obstacle detection algorithm; obstacle detection rate; self-adaptive threshold determination algorithm; stereo image sequences; stereo vision; visual impaired people; Cameras; Detection algorithms; Feature extraction; Histograms; Navigation; Roads; Visualization; blind; histogram; obstacle detection; travel aid;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2012 4th International Conference on

Conference_Location

Nanchang, Jiangxi

Print_ISBN

978-1-4673-1902-7

Type

conf

DOI

10.1109/IHMSC.2012.182

Filename

6305796