Title :
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
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;
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
DOI :
10.1109/IHMSC.2012.182
