Распознавание выражений лиц на основе адаптации классификатора видеоданных пользователя

Распознавание выражений лиц на основе адаптации классификатора видеоданных пользователя

Автор: Чураев Е.Н., Савченко А.В.

Журнал: Компьютерная оптика @computer-optics

Рубрика: Обработка изображений, распознавание образов

Статья в выпуске: 5 т.47, 2023 года.

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В настоящей работе предложен метод распознавания выражений лиц по видео, позволяющий значительно увеличить точность при помощи адаптации модели к эмоциям конкретного пользователя, например, владельца мобильного устройства. На первом этапе нейросетевая модель, предварительно обученная распознавать выражения лиц на статических фото, применяется для извлечения визуальных признаков лиц на каждом видеокадре. Далее они агрегируются в единый дескриптор для короткого фрагмента видео, после чего обучается нейросетевой классификатор. На втором этапе предлагается выполнить адаптацию этого классификатора с использованием небольшого набора видеоданных с выражениями лиц конкретного пользователя. После принятия решения пользователь может корректировать предсказанные эмоции для дальнейшего повышения точности персональной модели. В рамках экспериментального исследования для набора данных RAVDESS показано, что подход с адаптацией модели под конкретного пользователя позволяет значительно (на 20 - 50 %) повысить точность распознавания выражений лиц по видео.

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Распознавание выражений лиц, адаптация нейросетевого классификатора, распознавание лиц

Короткий адрес: https://sciup.org/140301846

IDR: 140301846   |   DOI: 10.18287/2412-6179-CO-1269

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