RGB-D image-based detection of stairs, pedestrian crosswalks and traffic signs

@article{Wang2014RGBDID,
  title={RGB-D image-based detection of stairs, pedestrian crosswalks and traffic signs},
  author={Shuihua Wang and Hangrong Pan and Chenyang Zhang and Yingli Tian},
  journal={J. Visual Communication and Image Representation},
  year={2014},
  volume={25},
  pages={263-272}
}
A computer vision-based wayfinding and navigation aid can improve the mobility of blind and visually impaired people to travel independently. In this paper, we develop a new framework to detect and recognize stairs, pedestrian crosswalks, and traffic signals based on RGB-D (Red, Green, Blue, and Depth) images. Since both stairs and pedestrian crosswalks are featured by a group of parallel lines, we first apply Hough transform to extract the concurrent parallel lines based on the RGB (Red, Green… CONTINUE READING
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