  Numerous automatic continuous emotion detection system studies have examined
mostly use of videos and images containing individual person expressing
emotions. This study examines the detection of spontaneous emotions in a group
and crowd settings. Edge detection was used with a grid of lines
superimposition to extract the features. The feature movement in terms of
movement from the reference point was used to track across sequences of images
from the color channel. Additionally the video data capturing was done on
spontaneous emotions invoked by watching sports events from group of
participants. The method was view and occlusion independent and the results
were not affected by presence of multiple people chaotically expressing various
emotions. The edge thresholds of 0.2 and grid thresholds of 20 showed the best
accuracy results. The overall accuracy of the group emotion classifier was
70.9%.
