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Effectiveness of Deep Learning Based Filtering Algorithm in Separation of Human Objects from Images

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Intelligent Human Computer Interaction (IHCI 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13741))

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Abstract

This article focuses on the use of filtering algorithms based on noise deep learning in high-efficiency detection of moving human objects in real-time video frames. The frame separation method developed for the detection of moving human objects has been modified to provide real-time image processing. In the first method, an efficient frame splitting method was used to detect the moving object from the original image. In this method, it is possible to detect moving objects in the image at a high speed, but the disadvantage is that the efficiency index is lower due to the fact that the image noise filtering tools are not used. To increase the efficiency of the algorithm, the use of the LBF-algorithm - (Machine Learning Approach for Filtering), which reduces the additional quality of the noise, was proposed.

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Author information

Authors and Affiliations

  1. Tashkent University of Information Technologies Named After Muhammad al Khwarizmi, Tashkent, Uzbekistan

    I. Yusupov, M. G. Mannapova & F. Botirov

  2. Nurafshan Branch of Tashkent University of Information Technologies Named After Muhammad Al Khwarizmi, Tashkent, Uzbekistan

    S. P. Khalilov & N. B. Nasrullayev

Authors
  1. S. P. Khalilov
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  2. I. Yusupov
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  3. M. G. Mannapova
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  4. N. B. Nasrullayev
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  5. F. Botirov
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Corresponding author

Correspondence to S. P. Khalilov .

Editor information

Editors and Affiliations

  1. Tashkent University Information Technologies, Tashkent, Uzbekistan

    Hakimjon Zaynidinov

  2. Oregon Institute of Technology, Klamath Falls, USA

    Madhusudan Singh

  3. Indian Institute of Information Technology, Allahabad, India

    Uma Shanker Tiwary

  4. Hankuk University of Foreign Studies, Yongin, Korea (Republic of)

    Dhananjay Singh

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Khalilov, S.P., Yusupov, I., Mannapova, M.G., Nasrullayev, N., Botirov, F. (2023). Effectiveness of Deep Learning Based Filtering Algorithm in Separation of Human Objects from Images. In: Zaynidinov, H., Singh, M., Tiwary, U.S., Singh, D. (eds) Intelligent Human Computer Interaction. IHCI 2022. Lecture Notes in Computer Science, vol 13741. Springer, Cham. https://doi.org/10.1007/978-3-031-27199-1_24

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  • DOI: https://doi.org/10.1007/978-3-031-27199-1_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-27198-4

  • Online ISBN: 978-3-031-27199-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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