MACHINE LEARNING DEVICE AND IMAGE PROCESSING DEVICE

A far-infrared image training data acquisition unit (20) acquires a far-infrared image in a first predetermined time zone. A visible light image training data acquisition unit (30) acquires a visible light image in a second predetermined time zone. A visible light image generation model training uni...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: KIDA Shingo, TAKEHARA Hideki, YANG Yincheng
Format: Patent
Sprache:eng ; fre ; ger
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Beschreibung
Zusammenfassung:A far-infrared image training data acquisition unit (20) acquires a far-infrared image in a first predetermined time zone. A visible light image training data acquisition unit (30) acquires a visible light image in a second predetermined time zone. A visible light image generation model training unit (40) machine-learns the far-infrared image in the first predetermined time zone and the visible light image in the second predetermined time zone as training data by a generative adversarial network, and generates a trained generation model (60), which generates the visible light image in the second predetermined time zone from the far-infrared image in the first predetermined time zone. Through machine learning by a generative adversarial network, the visible light image generation model training unit (40) further generates a trained identification model (70), which identifies whether or not the far-infrared image is a far-infrared image captured in the first predetermined time zone.