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Soft Computing for Problem Solving pp 531–538Cite as

Deep Learning for People Counting Model

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

Abstract

Modeling of automatic people detection and counting in a real-time video is an important feature in a smart surveillance system for safety and security management, marketing research, etc. Face recognition is one of the methods which is used for people detection. In this paper, a real-time automated model is designed using deep learning algorithm such as convolutional neural network which is computationally efficient. The face detected using the proposed algorithm exploits the challenges such as variations in size and shape of the head region to achieve robust detection of a human, even under partial occlusion, dynamically changing background, and varying illumination condition. Here, we have used WIDER face dataset and FDDB dataset to show the results of the proposed method.

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Author information

Authors and Affiliations

  1. Department of Computer Science, SSN College of Engineering, Chennai, India

    T. Revathi

  2. Department of Mathematics, SSN College of Engineering, Chennai, India

    T. M. Rajalaxmi

Authors
  1. T. Revathi
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  2. T. M. Rajalaxmi
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Corresponding author

Correspondence to T. Revathi .

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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Revathi, T., Rajalaxmi, T.M. (2020). Deep Learning for People Counting Model. 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_43

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