Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Optical Flow Analysis of Emotional Human Facial Expressions – Forensic Application


Affiliations
1 Biomedical Engineering at the University of Technology, Sydney, Australia
2 School of Life Sciences, Faculty of Science University of Technology Sydney, NSW, Australia
3 Dr. School of Life Sciences, Faculty of Science, University of Technology Sydney, NSW, Australia
     

   Subscribe/Renew Journal


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.
User
Subscription Login to verify subscription
Notifications
Font Size

Abstract Views: 229

PDF Views: 1




  • Optical Flow Analysis of Emotional Human Facial Expressions – Forensic Application

Abstract Views: 229  |  PDF Views: 1

Authors

David K. F. Chow
Biomedical Engineering at the University of Technology, Sydney, Australia
Sara Lal
School of Life Sciences, Faculty of Science University of Technology Sydney, NSW, Australia
Tamara Sztynda
Dr. School of Life Sciences, Faculty of Science, University of Technology Sydney, NSW, Australia

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.