Emotions in Group Photos

More than just spotting but also getting the emotion of multiple people.     Could lead to the further understanding  of crowds in contect.

Spotting Faces in the Crowd
from University of Delaware   By Julie Stewart

University of Delaware (UD) researchers are using machine learning and deep learning with neural networks to identify the emotions of people in group photos, with the goal of automatically classifying images uploaded to websites. UD's Xin Guo said, "When people search, they would see the images they are looking for because the algorithm would run and label whether people are happy or not. It could be used to analyze the emotions of a group of people pictured at a protest, a party, a wedding, or a meeting, for example. This technology could also be developed to determine what kind of event a given image shows." Guo's team scored first place in the Group-level Emotion Recognition sub-challenge of the 6th Emotion Recognition in the Wild (EmotiW 2018) Challenge at the ACM International Conference on Multimodal Interaction 2018 in October, with an algorithm that accurately classified people in a set of images as happy, neutral, or negative.  .... '