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.’
Monday, October 21
International workshop 'Facing New Urban Challenges towards the Zero Emissions City'
Deadline for application: October 7, 2019
Deadline for application: July 1, 2019