Abstract
This paper proposes a method for detecting frontal pedestrian crossings and estimating its length from image data obtained with a single camera as a travel aid for the blind. It is important for the blind to know whether or not a frontal area is a crossing. The existence of a crossing is detected in two steps. In the first step, feature points for a crossing is extracted using Fisher criterion. In the second step, the existence of a crossing is detected by checking on the peoriodicity of white stripes on the road using projective invariants. Next, we propose a method for estimaing crossing length using extracted feature points. From the experimental results for evaluation, it is found that the existence of a crossing is successfully detected for all 173 real images which include 100 images with crossings and 73 images without crossing. The rms error of crossing length estimation for the 100 images is found 2.29m.
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Kay, L.: A sonar aid to enhance spatial perception of the blind, engineering design and evaluation. Radio and Electron. Eng. 44, 605–629 (1974)
Morrissette, D.L., et al.: A follow-up study of the mowat sensor’s applications, frequency of use, and maintenance reliability. J. Vis. Impairment and Blindness 75, 244–247 (1981)
Benjamin, J.M.: The new C-5 laser cane for the blind. In: Proc. Carnahan Conf. on Electronic Prosthetics, pp. 77–82 (1973)
Shoval, S., Borenstein, J., Koren, Y.: Auditory guidance with the navbelt-a computerized travel aid for the blind. IEEE Trans. Syst. Man Cybern. C 28, 459–467 (1998)
Tajima, T., Aotani, T., Kurauchi, K., Ohkubo, H.: Evaluation of pedestrian information and communication systems-A for visually impaired persons. In: Proc. 17th CSUN conf., pp. 1–7 (2002)
Meijar, P.B.L.: Vision technology for the totally blind, [Online] Available: http://www.seeingwithsound.com/
Se, S.: Zebra-crossing detection for the partially sighted. In: Proc. IEEE Computer Society Conf. on Computer Vision and Pattern Recognition (CVPR), South Carolina, USA, June 2000, vol. 2, pp. 211–217 (2000)
Shioyama, T., Wu, H., Nakamura, N., Kitawaki, S.: Measurement of the length of pedestrian crossings and detection of traffic lights from image data. Meas. Sci. Technol. 13, 1450–1457 (2002)
Shioyama, T., Uddin, M.S.: Detection of pedestrian crossings with projective invariants from image data. Meas. Sci. Technol. 15, 2400–2405 (2004)
Weiss, I.: Geometric invariants and object recognition. Int. J. of Comp. Vision 10, 207–231 (1993)
Uddin, M.S., Shioyama, T.: Measurement of the length of pedestrian crossings from image data. In: Proc. Int. Symp. on Photo-Optical Instrumentation Engineering, SPIE 2004, Photonics North, Ottawa, vol. 5578, pp. 498–508 (2004)
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© 2006 Springer-Verlag Berlin Heidelberg
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Shioyama, T. (2006). Computer Vision Based Travel Aid for the Blind Crossing Roads. In: Blanc-Talon, J., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2006. Lecture Notes in Computer Science, vol 4179. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11864349_88
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DOI: https://doi.org/10.1007/11864349_88
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-44630-9
Online ISBN: 978-3-540-44632-3
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