The face of an imposter: computer vision for deception detection research in progress

摘要

Using video analyzed from a novel deception experiment, this paper introduces computer vision research in progress that addresses two critical components to computational modeling of deceptive behavior: 1) individual nonverbal behavior differences, and 2) deceptive ground truth. Video interviews analyzed for this research were participants recruited as potential hooligans (extreme sports fans) who lied about support for their rival team. From these participants, we will process and extract features representing their faces that will be submitted to slow feature analysis. From this analysis we will identify each person’s unique facial expression and behaviors, and look for systemic variation between truth and deception.