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Authors
Affiliations
1 Biomedical Engineering at the University of Technology, Sydney, AU
2 School of Life Sciences, Faculty of Science University of Technology Sydney, NSW, AU
3 Dr. School of Life Sciences, Faculty of Science, University of Technology Sydney, NSW, AU
Source
Artificial Intelligent Systems and Machine Learning, Vol 11, No 12 (2019), Pagination: 209-218
Abstract
Emotional facial expressions have been suggested as indicators of a person’s intended actions when they display a set of specific facial reactions. Our aim was to investigate Optical Flow to identify specific emotions with the long-term objective to create an algorithm that would automate the process. This would remove all allegations of bias to give security personnel an objective way of screening individuals in a crowd who may require closer scrutiny. This paper describes our preliminary studies, using film clips to elicit dynamic natural facial responses. This has identified key elements that need to be evaluated further, such as gender and age of the people under observation, as well as specific facial elements that may be of greater benefit than whole facial images for the purpose of screening crowds for potential perpertrators of anti-social behaviour.
Keywords
Emotion Induction, Lucas-Kanade Optical Flow, Spontaneous Emotional Facial Expression.
