Zebra-crossing Detection for the Partially Sighted
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.