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An Automated Image-Based Approach for Tracking Pedestrian Movements from Top-View Video

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Advances in Visual Informatics (IVIC 2017)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10645))

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Abstract

In order to gain better and more understanding of pedestrian safety video, better tracking of pedestrian movements is necessary. However, existing works on video tracking of pedestrian movements focus in some specific places or situations, extracted limited data from the video and in some cases, a lot of human interventions are required in handling the data extraction. This paper presents an automated image-based approach for tracking pedestrian movements that takes advantage of the top-view video. The proposed approach consists of several steps namely detection, tracking, image calibration and extracting characteristics of a pedestrian from a video. The methods used in these steps are adapted or enhanced from some of the existing work in this area. These steps also allow automated video monitoring and require less human efforts. Besides, it is also used to estimate the speed of a pedestrian. The results of the experiment for the proposed approach using five videos with different scenario are presented. The pedestrian movement was plotted accurately and the numbers of pedestrians detected in the video were recorded correctly whereas the speed of the pedestrians from the framework was very close to the actual speed. The proposed approach can be used to monitor pedestrians in a sparse environment such as at the entrance of a hall or building or along a corridor.

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Acknowledgements

The authors would like to acknowledge the support of the Ministry of Higher Education Malaysia for this research under the Fundamental Research Grant Scheme entitled “More Accurate Models for Movements of Pedestrians in Big Crowds”.

Author information

Authors and Affiliations

  1. School of Computer Sciences, Universiti Sains Malaysia, 11800, USM Pulau Pinang, Malaysia

    Halimatul Saadiah Md. Yatim & Abdullah Zawawi Talib

  2. Department of Computer Science, Taibah University, Al-Madinah Al-Munawwarah, Kingdom of Saudi Arabia

    Fazilah Haron

Authors
  1. Halimatul Saadiah Md. Yatim
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  2. Abdullah Zawawi Talib
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  3. Fazilah Haron
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Corresponding author

Correspondence to Abdullah Zawawi Talib .

Editor information

Editors and Affiliations

  1. Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia

    Halimah Badioze Zaman

  2. University of Cambridge, Cambridge, United Kingdom

    Peter Robinson

  3. Dublin City University, Dublin, Ireland

    Alan F. Smeaton

  4. National Central University, Jhongli, Taiwan

    Timothy K. Shih

  5. Carlos III University of Madrid, Madrid, Spain

    Sergio Velastin

  6. Toyo University, Kawagoe, Japan

    Tada Terutoshi

  7. Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia

    Azizah Jaafar

  8. Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia

    Nazlena Mohamad Ali

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Yatim, H.S.M., Talib, A.Z., Haron, F. (2017). An Automated Image-Based Approach for Tracking Pedestrian Movements from Top-View Video. In: Badioze Zaman, H., et al. Advances in Visual Informatics. IVIC 2017. Lecture Notes in Computer Science(), vol 10645. Springer, Cham. https://doi.org/10.1007/978-3-319-70010-6_26

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  • DOI: https://doi.org/10.1007/978-3-319-70010-6_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70009-0

  • Online ISBN: 978-3-319-70010-6

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