Emotion Recognition in Human Face Through Video Surveillance—A Survey of State-of-the-Art Approaches

Emotion is a state of thoughts and feelings related to events and happenings. Emotion plays a significant role in all aspects of life. If we capture the emotion of an individual, then many issues can be resolved. Emotion recognition is becoming an interesting field of research nowadays due to huge amount of information available from various communication platforms. Emotion detection will play vital role as we are moving towards digital era from all the aspects of life. The capacity to understand the emotion by computer is necessary in many applications, especially emotion detected from video. At the present, emotional factors are significant because we get efficient aspect of customer behaviour. Video surveillance plays important role in recent times for face detection and feature extraction. Video surveillance will help us to understand the emotion that is being carried out by an individual. Facial expression is the natural aspect which helps to integrate the quality of emotion. Human face helps to get the emotion a person expressing in due course of action and activities. Many clues we can get from the human face which will help us to formulate and solve the issues and threat in the domain of emotion detection. This scholarly work is a comparative study of emotion recognition and classification of emotion from video sequences which exhibits the current trends and challenges in emotion recognition. Intensity of emotion and duration of an emotion are the two significant attributes for effective identification of emotion of an individual though video surveillance. This study of emotion recognition has given insight and future direction in the domain of emotion recognition technology.