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.’
Deadline for application - July 1, 2021
VIII International Conference 'Modern Econometric Tools and Applications - META2021'