Researchers teach neural networks to determine crowd emotions

Scholars from the Higher School Of Economics 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.'

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