Obstacle Detection System for Visually Impaired People Based on Stereo Vision

Author

Chen, Long ; Guo, Bao-Long ; Sun, Wei

Author_Institution

Sch. of Mechano-Electron. Eng., Xidian Univ., Xi´´an, China

fYear

2010

fDate

13-15 Dec. 2010

Firstpage

723

Lastpage

726

Abstract

An obstacle system based on visual selective feature and stereo vision is stated in this paper. By extracting feature vectors with color, intensity and direction, the corresponding saliency map is constructed. Then, obstacle area is figured out through threshold segmentation to the saliency map, and 3-D information of the obstacles is computed by using stereo vision. Finally, obstacle information is transformed into voice which can be delivered to the blind. Indoor and outdoor experiment has proved practicality and effectiveness of this method.

Keywords

collision avoidance; feature extraction; handicapped aids; image segmentation; object detection; stereo image processing; visual perception; 3D information; blind; feature extraction; indoor experiment; obstacle detection system; outdoor experiment; saliency map; stereo vision; threshold segmentation; visual selective feature; visually impaired people; Cameras; Feature extraction; Humans; Image color analysis; Image segmentation; Stereo vision; Visualization; obstacle detection; saliency map; tereo vision; visual attention;

fLanguage

English

Publisher

ieee

Conference_Titel

Genetic and Evolutionary Computing (ICGEC), 2010 Fourth International Conference on

Conference_Location

Shenzhen

Print_ISBN

978-1-4244-8891-9

Electronic_ISBN

978-0-7695-4281-2

Type

conf

DOI

10.1109/ICGEC.2010.183

Filename

5715533