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A Face and Posture Recognition Model Using CNN for Adapting Different Resolution Images

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Web, Artificial Intelligence and Network Applications (WAINA 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1150))

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Abstract

This paper presents a face and posture recognition model using convolutional neural network for adapting different resolution images. The performance of face recognition has dramatically improved by applying deep learning. However, it is known that the accuracy of face recognition would be decreased according to the resolution of face image. This problem is not negligible for some applications such as the real-time face recognition by surveillance camera, since the camera cannot always capture a face in a suitable position and distance. In order to solve this problem, our model adapts the resolution of an input image by selecting a proper model according to the resolution. In the experiment, we confirm the relationships between the recognition accuracy of face and posture and the resolution of captured image.

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Authors and Affiliations

  1. Department of Information and Computer Sciences, Faculty of Information Technology, Kanagawa Institute of Technology, 1030 Shimo-ogino, Atsugi, Kanagawa, 243-0292, Japan

    Hiroakik Fuma & Kosuke Takano

Authors
  1. Hiroakik Fuma
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  2. Kosuke Takano
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Corresponding author

Correspondence to Kosuke Takano .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Department of Electrical Engineering and Information Technology, University of Naples “Frederico II”, Naples, Italy

    Flora Amato

  3. Department of Political Science, University of Campania Luigi Vanvitelli, Caserta, Italy

    Francesco Moscato

  4. Faculty of Business Administration, Rissho University, Tokyo, Japan

    Tomoya Enokido

  5. Department of Advanced Sciences, Hosei University, Tokyo, Japan

    Makoto Takizawa

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Fuma, H., Takano, K. (2020). A Face and Posture Recognition Model Using CNN for Adapting Different Resolution Images. In: Barolli, L., Amato, F., Moscato, F., Enokido, T., Takizawa, M. (eds) Web, Artificial Intelligence and Network Applications. WAINA 2020. Advances in Intelligent Systems and Computing, vol 1150. Springer, Cham. https://doi.org/10.1007/978-3-030-44038-1_40

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