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Practical Real-Time System for Object Counting Based on Optical Flow

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Book cover Robot Intelligence Technology and Applications 3

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 345))

Abstract

This paper describes a simple and effective system for counting the number of objects that move through a region of interest. In this work, I focus on the problem of counting the number of people that are entering or leaving an event. I design a pedestrian counting system that uses a dense optical flow field to calculate the integral of the optical flow in a video sequence. The only parameter used in the system is the the estimated integral flow for a single person. This parameter can be easily calculated from a short training sequence. Empirical evaluations show that the system is able to provide accurate estimates even for complex sequences in real-time. The described system won 2nd place in the pedestrian counting computer vision competition at the IEA-AIE 2014 conference.

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References

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Author information

Authors and Affiliations

  1. University of Manitoba, Winnipeg, MB, R3T 2N2, Canada

    Jacky Baltes, Amirhossein Hosseinmemar, Joshua Jung & John Anderson

  2. Amirkabir University of Technology, No. 424, Hafez Ave., Tehran, Iran

    Soroush Sadeghnejad

Authors
  1. Jacky Baltes
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  2. Amirhossein Hosseinmemar
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  3. Joshua Jung
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  4. Soroush Sadeghnejad
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  5. John Anderson
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Corresponding author

Correspondence to Jacky Baltes .

Editor information

Editors and Affiliations

  1. Div. Electrical Engineering, Korea Advanced Institute of Science & Technology (KAIST), Daejeon, Korea, Republic of (South Korea)

    Jong-Hwan Kim

  2. College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing, China

    Weimin Yang

  3. School of Information and Communication Technology, Griffith University, Gold Coast, Australia

    Jun Jo

  4. Center for Intelligent Technologies, Technical University of Kosice, Kosice, Slovakia

    Peter Sincak

  5. Civil and Environmental Engg., KAIST, Daejeon, Korea, Republic of (South Korea)

    Hyun Myung

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© 2015 Springer International Publishing Switzerland

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Baltes, J., Hosseinmemar, A., Jung, J., Sadeghnejad, S., Anderson, J. (2015). Practical Real-Time System for Object Counting Based on Optical Flow. In: Kim, JH., Yang, W., Jo, J., Sincak, P., Myung, H. (eds) Robot Intelligence Technology and Applications 3. Advances in Intelligent Systems and Computing, vol 345. Springer, Cham. https://doi.org/10.1007/978-3-319-16841-8_28

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  • DOI: https://doi.org/10.1007/978-3-319-16841-8_28

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-16840-1

  • Online ISBN: 978-3-319-16841-8

  • eBook Packages: EngineeringEngineering (R0)

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