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Motion Detection Using a Hybrid Texture-Based Approach

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Book cover Soft Computing for Problem Solving

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1048))

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Abstract

Motion analysis plays an important role in various real-time applications like object detection, human–computer interaction, surveillance systems, human detection and tracking, event monitoring, etc. Background subtraction that aims at separating the motion regions from the static portions lays the foundation of all such applications. Most of the background subtraction techniques developed to date explore colour features of pixels, either individually or in a spatio-temporal manner. Many other techniques exploit texture characteristics of pixels, while a few have been developed that employ a combination of both texture and colour characteristics for extracting motion-related information from frames. But most of the efficient background modelling techniques demand extensive use of hardware and computation. In this paper, we propose a hybrid sample consensus-based foreground segmentation technique that fuses similarity-based binary patterns of pixels with YCbCr colour space. The core of a pixel-based technique has been reconstructed to obtain drastically refined results.

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Authors and Affiliations

  1. Visvesvaraya National Institute of Technology, Nagpur, India

    Rimjhim Padam Singh, Poonam Sharma & Jitendra Madarkar

Authors
  1. Rimjhim Padam Singh
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  2. Poonam Sharma
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  3. Jitendra Madarkar
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Corresponding author

Correspondence to Rimjhim Padam Singh .

Editor information

Editors and Affiliations

  1. Department of Mathematics, National Institute of Technology Silchar, Silchar, Assam, India

    Kedar Nath Das

  2. Department of Mathematics, South Asian University, New Delhi, Delhi, India

    Jagdish Chand Bansal

  3. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Kusum Deep

  4. Department of Mathematics, Faculty of Science, Liverpool Hope University, Liverpool, UK

    Atulya K. Nagar

  5. School of Electrical Engineering, VIT University, Vellore, Tamil Nadu, India

    Ponnambalam Pathipooranam

  6. School of Electrical Engineering, VIT University, Vellore, Tamil Nadu, India

    Rani Chinnappa Naidu

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Singh, R.P., Sharma, P., Madarkar, J. (2020). Motion Detection Using a Hybrid Texture-Based Approach. In: Das, K., Bansal, J., Deep, K., Nagar, A., Pathipooranam, P., Naidu, R. (eds) Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 1048. Springer, Singapore. https://doi.org/10.1007/978-981-15-0035-0_50

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