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Multi-object Tracking System

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Image Processing and Communications Challenges 5

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 233))

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Summary

The article describes the multi-object tracking system based on new approach to object management after preprocessing and background modeling. Object manager determine correlation between objects in previous and current frame by matching features. For matching features algorithm use color histogram with a small number of bins. Each moving object extracted from the scene is assigned to an individual and independent Kalman filter. System stores information about real position of the objects extracted directly from image processing and keep information about centroids predicted by Kalman filter.

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References

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Author information

Authors and Affiliations

  1. Institute of Microelectronics and Optoelectronics, Warsaw Univeristy of Technology, Warsaw, Poland

    Piotr Garbat

  2. LINGARO Sp. z o.o., Warsaw, Poland

    Jacek Zawistowski & Paweł Ziubiński

Authors
  1. Jacek Zawistowski
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  2. Piotr Garbat
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  3. Paweł Ziubiński
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Corresponding author

Correspondence to Jacek Zawistowski .

Editor information

Editors and Affiliations

  1. Life Sciences, Institute of Telecommunications, University of Technology, ul.S.Kaliskiego 7, Bydgoszcz, 85791, Poland

    Ryszard S. Choras

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© 2014 Springer International Publishing Switzerland

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Zawistowski, J., Garbat, P., Ziubiński, P. (2014). Multi-object Tracking System. In: S. Choras, R. (eds) Image Processing and Communications Challenges 5. Advances in Intelligent Systems and Computing, vol 233. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-01622-1_23

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  • DOI: https://doi.org/10.1007/978-3-319-01622-1_23

  • Publisher Name: Springer, Heidelberg

  • Print ISBN: 978-3-319-01621-4

  • Online ISBN: 978-3-319-01622-1

  • eBook Packages: EngineeringEngineering (R0)

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