Detection of Pedestrian Crossing using Bipolarity and Projective Invariant

Mohammad Shorif Uddin, Tadayoshi Shioyama · 2005

A novel image-based approach for detecting pedestrian crossings to enhance the safety and mobility of blind people while crossing a road is described. This is achieved through bipolarity-based segmentation and projective invariantbased recognition. A thorough evaluation of the proposed approach was conducted using 100 real images with and without crossings. It was found that the proposed technique perform with 96 % accuracy and with no dangerous error. 1

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