ANALYSIS OF CROWD BEHAVIOR USING FACE EXPRESSIONS

Abstract

Understanding how people exploit nonverbal aspects of their communication to coordinate their activities and social relationships is a fundamental scientific challenge. Deeper insights into nonverbal communication can have a profound impact on how we link theories of perception, learning, cognition and action to models of interactions and groups at the social level. Models of nonverbal behaviours in interaction are essential for collaboration tools, human-computer and virtual interaction and other assistive technologies designed to support people in real-world activities. - This final year project Analysis of Crowd Behaviour using Face Expressions (ACBE) presents a study on the analysis of the crowd using computer vision techniques, covering different aspects such as tracking people and frequent changes of behaviour of people. Although the crowds are made up of independent, each with their own goals and behaviours, crowd behaviour is widely understood as having collective characteristics that can be described in general terms. For example, descriptions like "an angry", a "peaceful", etc. are accepted. For this purpose an analysis has been done based on the facial expressions of group(s) in a crowd. The main scope of this project was to develop an application used for security purpose in crowded places i.e. Railway station, Airports and School to identify any specious entity around. On the final outcome our system will tells the current emotions of persons in group. On the basis of current mood of the persons in a group system will analyse and detect the current environment. In the end it will predict the next behaviour of a selected person based on current detected mood and environment.