USING DEEP LEARNING ALGORITHMS TO DETECT HUMAN EYES IN VIDEO IMAGES.

Djabbarov, Dilshod, Asrayev, Muhammadmullo, G‘oipova , Xumora

Al-Farg'oniy avlodlari · 2024-yil

Annotatsiya

Abstract. In today's fast-paced world, images have become one of the industries that help. This field has helped solve many of the services available in various fields, from surveillance to human-computer interaction. At the heart of this transformation is the problem of distinguishing between video frame problems and accurately detecting human eyes. This technology is the result of the development of interesting computer vision techniques and deep learning algorithms  

Maqola ma’lumotlari
MualliflarDjabbarov, Dilshod, Asrayev, Muhammadmullo, G‘oipova , Xumora
JurnalAl-Farg'oniy avlodlari
Nashr sanasi2024-06-05
Son2
Betlar291-295
TilRus

Kalit so‘zlar

машинное обучение, визуальные вычисления, глубокие нейронные сети, анализ видеоданных, цифровая обработка изображений, извлечение черт лица, анализ живого видео, обнаружение визуальных объектов, machine learning, visual computing, deep neural networks, video data analysis, digital image processing, facial feature extraction, live video analysis, visual object detection, Mashinali o‘qitish, vizual hisoblash, chuqur neyron tarmoqlari, video ma’lumotlarni tahlil qilish, raqamli tasvirni qayta ishlash, yuz xususiyatlarini ajratib olish, jonli video tahlili, vizual obyektlarni aniqlash

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