赤外線センサアレイを用いた畳み込みRNNによる人物行動認識

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  • Action Recognition Using a Far-Infrared Sensor Array by Convolutional RNN

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<p>This paper proposes a Deep Learning-based action recognition method from an extremely low-resolution FIR image sequence. The method recognizes daily actions by humans (e.g. walking, sitting down, standing up, and so on) and abnormal actions (e.g. falling down) without privacy concerns. While privacy concerns can be ignored, it is difficult to compute feature points and to obtain a clear edge of the human body from an extremely low-resolution FIR image. To address these problems, this paper proposes a Deep Learning-based action recognition method whose inputs are the FIR images and their frame differences cropped by the gravity center of human regions.</p>

収録刊行物

  • 精密工学会誌

    精密工学会誌 84 (12), 1025-1032, 2018-12-05

    公益社団法人 精密工学会

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