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A Mobile-Based Obstacle Detection Method: Application to the Assistance of Visually Impaired People

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Neural Information Processing (ICONIP 2016)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9950))

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Abstract

Visual impairments suffer many difficulties when they navigate from one place to another in their daily life. The biggest problem is obstacle detection. In this work, we propose a new smartphone-based method for obstacle detection. We aim to detect static and dynamic obstacles in unknown environments while offering maximum flexibility to the user and using the least expensive equipment possible. Detecting obstacles is based on the analysis of different regions of video frames and using a new decision algorithm. The analysis uses prediction model for each region that generated by a supervised learning process. The user is notified about the existing of an obstacle by alert message. The efficiency of the work is measured by many experiments studies on different complex scenes. It records low false alarm rate in the range of [0.2 % to 11 %], and high accuracy in the range of [86 % to 94 %].

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Notes

  1. 1.

    http://www.who.int/mediacentre/factsheets/fs282/en/.

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Author information

Authors and Affiliations

  1. Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia

    Manal Abdulaziz Alshehri, Salma Kammoun Jarraya & Hanene Ben-Abdallah

  2. MIRACL-Laboratory, Sfax, Tunisia

    Salma Kammoun Jarraya & Hanene Ben-Abdallah

Authors
  1. Manal Abdulaziz Alshehri
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  2. Salma Kammoun Jarraya
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  3. Hanene Ben-Abdallah
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Corresponding author

Correspondence to Manal Abdulaziz Alshehri .

Editor information

Editors and Affiliations

  1. The University of Tokyo , Tokyo, Japan

    Akira Hirose

  2. Kobe University , Kobe, Japan

    Seiichi Ozawa

  3. Okinawa Institute of Science and Technology Graduate University, Onna, Japan

    Kenji Doya

  4. Nara Institute of Science and Technology , Ikoma, Japan

    Kazushi Ikeda

  5. Kyungpook National University , Daegu, Korea (Republic of)

    Minho Lee

  6. Chinese Academy of Sciences , Beijing, China

    Derong Liu

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© 2016 Springer International Publishing AG

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Alshehri, M.A., Jarraya, S.K., Ben-Abdallah, H. (2016). A Mobile-Based Obstacle Detection Method: Application to the Assistance of Visually Impaired People. In: Hirose, A., Ozawa, S., Doya, K., Ikeda, K., Lee, M., Liu, D. (eds) Neural Information Processing. ICONIP 2016. Lecture Notes in Computer Science(), vol 9950. Springer, Cham. https://doi.org/10.1007/978-3-319-46681-1_66

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  • DOI: https://doi.org/10.1007/978-3-319-46681-1_66

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46680-4

  • Online ISBN: 978-3-319-46681-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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