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Pedestrian-Safe Smart Crossing System Based on IoT with Object Tracking

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Advances in Computer Science and Ubiquitous Computing (CUTE 2017, CSA 2017)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 474))

Abstract

Crosswalk is a way to sharing the road between vehicle and people. As the population increases, the chance of accident rises. Due to efforts on decreasing accidents, the total number of accident decreases annually. Nevertheless, the number of pedestrian accident in crosswalks is not decreased for a decade. In this paper, we propose a Pedestrian-Safe Smart Crosswalk System based on IoT using a CCTV with object tracking to reduce and save lives from an accident.

This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Science, ICT & Future Planning (NRF-2015R1C1A1A02036686).

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Author information

Authors and Affiliations

  1. Department of Computer Information Telecommunication Engineering, Daegu Catholic University, 13-13 Hayangro, Gyoungsansi, Gyoungbuk, 38430, Republic of Korea

    KwangEun An, Sung Won Lee, Young Ju Jeong & Dongmahn Seo

Authors
  1. KwangEun An
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  2. Sung Won Lee
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  3. Young Ju Jeong
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  4. Dongmahn Seo
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Corresponding author

Correspondence to Dongmahn Seo .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Seoul University of Science and Technology, Seoul, Korea (Republic of)

    James J. Park

  2. Department of Business Science, University of Salerno, Salerno, Italy

    Vincenzo Loia

  3. Department of Multimedia Engineering, Dongguk University, Seoul, Soul-t’ukpyolsi, Korea (Republic of)

    Gangman Yi

  4. Department of Multimedia Engineering, Dongguk University, Seoul, Soul-t’ukpyolsi, Korea (Republic of)

    Yunsick Sung

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© 2018 Springer Nature Singapore Pte Ltd.

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An, K., Lee, S.W., Jeong, Y.J., Seo, D. (2018). Pedestrian-Safe Smart Crossing System Based on IoT with Object Tracking. In: Park, J., Loia, V., Yi, G., Sung, Y. (eds) Advances in Computer Science and Ubiquitous Computing. CUTE CSA 2017 2017. Lecture Notes in Electrical Engineering, vol 474. Springer, Singapore. https://doi.org/10.1007/978-981-10-7605-3_147

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  • DOI: https://doi.org/10.1007/978-981-10-7605-3_147

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7604-6

  • Online ISBN: 978-981-10-7605-3

  • eBook Packages: EngineeringEngineering (R0)

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