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Vision-Based Distance Estimation Method Using Single Camera: Application to the Assistance of Visually Impaired People

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Information Systems and Technologies to Support Learning (EMENA-ISTL 2018)

Abstract

In this paper, we test, implement and evaluate different distance calculation methods to determine the best method for computing the distance of obstacle to the visually impaired user. This work will be important for visually impaired people, it provides a significant information about the obstacles such as the type and distance of the obstacle in unknown environments from partial visual information based on computer vision techniques. In order to determine the distance with low complexity and high accuracy, among the existing distance calculation methods, we adopt three methods to calculate the distance of obstacle using a single camera. Also, to increase the awareness of the explored environment, we provide experimental results concerned with several aspects of distance calculation method. The experimental results show that the relative error between the detected viewing distance and the actual viewing distance of the used method is within −0.36 to −1.81%.

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References

  1. Tapu, R., Mocanu, B., Zaharia, T.: A computer vision-based perception system for visually impaired. Multimed. Tools Appl. 76, 1–37 (2016)

    Article  Google Scholar 

  2. Tapu, R., Mocanu, B., Bursuc, A., Zaharia, T.: A smartphone-based obstacle detection and classification system for assisting visually impaired people, pp. 444–451. IEEE (2013)

    Google Scholar 

  3. Alshehri, M.A., Jarraya, S.K., and Ben-Abdallah, H.: A mobile-based obstacle detection method: application to the assistance of visually impaired people, pp. 555–564. Springer (2016)

    Google Scholar 

  4. Khenkar, S., Alsulaiman, H., Ismail, S., Fairaq, A., Jarraya, S.K., Ben-Abdallah, H.: ENVISION: assisted navigation of visually impaired smartphone users. Procedia Comput. Sci. 100, 128–135 (2016)

    Article  Google Scholar 

  5. Lakshmanan, R., Senthilnathan, R.: Depth map based reactive planning to aid in navigation for visually challenged, pp. 1229–1234. IEEE (2016)

    Google Scholar 

  6. Huang, H.-C., Hsieh, C.-T., Yeh, C.-H.: An indoor obstacle detection system using depth information and region growth. Sensors 15, 27116–27141 (2015)

    Article  Google Scholar 

  7. Poggi, M., Mattoccia, S.: A wearable mobility aid for the visually impaired based on embedded 3D vision and deep learning, pp. 208–213. IEEE (2016)

    Google Scholar 

  8. Vlaminck, M., Hiep, Q.L., Vu, H., Veelaert, P., Philips, W.: Indoor assistance for visually impaired people using a RGB-D camera, pp. 161–164. IEEE (2016)

    Google Scholar 

  9. Vlaminck, M., Jovanov, L., Van Hese, P., Goossens, B., Philips,W., Pizurica, A.: Obstacle detection for pedestrians with a visual impairment based on 3D imaging, pp. 1–7. IEEE (2013)

    Google Scholar 

  10. Hoang, V.-N., Nguyen, T.-H., Le, T.-L., Tran, T.-H., Vuong, T.-P., Vuillerme, N.: Obstacle detection and warning system for visually impaired people based on electrode matrix and mobile Kinect. Vietnam J. Comput. Sci. 2, 1–13 (2016)

    Google Scholar 

  11. Sampath, D., Wimalarathne, G.: Obstacle classification through acoustic echolocation, pp. 1–7. IEEE (2015)

    Google Scholar 

  12. Takizawa, H., Yamaguchi, S., Aoyagi, M., Ezaki, N., Mizuno, S.: Kinect cane: object recognition aids for the visually impaired, pp. 473–478. IEEE (2013)

    Google Scholar 

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Correspondence to Wafa Saad Al-shehri , Salma Kammoun Jarraya or Manar Salama Ali .

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Al-shehri, W.S., Jarraya, S.K., Ali, M.S. (2019). Vision-Based Distance Estimation Method Using Single Camera: Application to the Assistance of Visually Impaired People. In: Rocha, Á., Serrhini, M. (eds) Information Systems and Technologies to Support Learning. EMENA-ISTL 2018. Smart Innovation, Systems and Technologies, vol 111. Springer, Cham. https://doi.org/10.1007/978-3-030-03577-8_74

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