Tag "neuronets"

Scholars from HSE University have developed an algorithm that detects emotions in a group of people on a low-quality video. The solution provides a final decision in just one hundredth of a second, which is faster than any other existing algorithms with similar accuracy. The results have been described in the paper ‘Emotion Recognition of a Group of People in Video Analytics Using Deep Off-the-Shelf Image Embeddings.’

Researchers at the Higher School of Economics have proposed a new method of recognizing people on video with the help of a deep neural network. The approach does not require a large number of photographs and it has a significantly higher recognition accuracy compared to already existing methods — even if only one photo of a person is available. The results of the work have been published in the articles ‘Fuzzy Analysis and Deep Convolution Neural Networks in Still-to-Video Recognition’.