Detection of Pedestrian Crossing using Bipolarity and Projective Invariant
نویسندگان
چکیده
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.
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