DocumentCode :
2203525
Title :
Zebra-crossing detection for the partially sighted
Author :
Se, Stephen
Author_Institution :
Dept. of Comput. Sci., British Columbia Univ., Vancouver, BC, Canada
Volume :
2
fYear :
2000
fDate :
2000
Firstpage :
211
Abstract :
Zebra-crossings are useful road features for outdoor navigation in mobility aids for the partially sighted. In this paper, zebra-crossings are detected by looking for groups of concurrent lines, edges are then partitioned using intensity variation information. In order to tackle the ambiguity of the detection algorithm in distinguishing zebra-crossings and stair-cases, pose information is sought. Three methods are developed to estimate the pose: homography search approach using an a priori model; finding normal using the vanishing line computed from equally-spaced lines and with two vanishing points. These algorithms have been applied to real images with promising results and they are also useful in some other shape from texture applications
Keywords :
computer vision; handicapped aids; homography search; intensity variation; mobility aids; outdoor navigation; partially sighted; shape from texture; zebra-crossing detection; Detection algorithms; Image edge detection; Navigation; Roads; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 2000. Proceedings. IEEE Conference on
Conference_Location :
Hilton Head Island, SC
ISSN :
1063-6919
Print_ISBN :
0-7695-0662-3
Type :
conf
DOI :
10.1109/CVPR.2000.854787
Filename :
854787
Link To Document :
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