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Human Tracking Using Wigner Distribution and Rule-Based System in RGB Video

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Intelligent Communication Technologies and Virtual Mobile Networks (ICICV 2019)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 33))

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Abstract

In recent times, human tracking plays a crucial role in several applications like surveillance, free biometry, realistic world etc. In this research work, we suggest a new method to track the objects like humans using the motion obtained from color images. This algorithm does not use the object characteristics which is tracked and hence it resembles human eyes that uses the process of tracking in all the available images in RGB. Spatial and temporal association of motions are considered for motion association, which is the proposed plan of action to decrease the undesired selection process. Furthermore, for different images the Wigner distribution has been used which is less dependent on the fluctuation in threshold frame and thus reduces the untrue object detections. The results acquired with this algorithm is identical and consistent which in turn provides the reduction in computational complexity of this algorithm.

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Author information

Authors and Affiliations

  1. Department of ETE, Pacific University, Udaipur, India

    J. R. Mahajan

  2. Department of ETE, Vivekanand Institute of Technology, Chembur, Mumbai, India

    C. S. Rawat

Authors
  1. J. R. Mahajan
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  2. C. S. Rawat
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Corresponding author

Correspondence to J. R. Mahajan .

Editor information

Editors and Affiliations

  1. Department of CSE, Francis Xavier Engineering College, Tirunelveli, Tamil Nadu, India

    S. Balaji

  2. Departamento de Engenharia Informática, Faculdade de Ciências e Tecnologia, University of Coimbra, Coimbra, Portugal

    Álvaro Rocha

  3. Department of Electrical Engineering, National Changhua University of Education, Changhua County, Taiwan

    Yi-Nan Chung

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Mahajan, J.R., Rawat, C.S. (2020). Human Tracking Using Wigner Distribution and Rule-Based System in RGB Video. In: Balaji, S., Rocha, Á., Chung, YN. (eds) Intelligent Communication Technologies and Virtual Mobile Networks. ICICV 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 33. Springer, Cham. https://doi.org/10.1007/978-3-030-28364-3_7

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  • DOI: https://doi.org/10.1007/978-3-030-28364-3_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-28363-6

  • Online ISBN: 978-3-030-28364-3

  • eBook Packages: EngineeringEngineering (R0)

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