Expression Analysis In The Wild: From Individual To Groups

With the advances in the computer vision in the past few years, analysis of human facial expressions has gained at-tention. Facial expression analysis is now an active field of research for over two decades now. However, still there are a lot of questions unanswered. This project will explore and devise algorithms and techniques for facial expression anal-ysis in practical environments. Methods will also be devel-oped for inferring the emotion of a group of people. The cen-tral hypothesis of the project is that close to real-world data can be extracted from movies and facial expression analy-sis on movies is a stepping stone for moving to analysis in the real-world. For the analysis of groups of people various attributes effect the perception of mood. A system which can classify the mood of a group of people in videos will be developed and will be used to solve the problem of efficient image browsing and retrieval based on emotion