PT Unknown
AU Dennis H. Lundtoft
   Kamal Nasrollahi
   Thomas B. Moeslund
   Sergio Escalera
TI Spatiotemporal Facial Super-Pixels for Pain Detection
BT 9th Conference on Articulated Motion and Deformable Objects
PY 2016
DI 10.1007/978-3-319-41778-3_4
DE Facial images; Super-pixels; Spatiotemporal filters; Pain detection
AB Best student paper award.Pain detection using facial images is of critical importance in many Health applications. Since pain is a spatiotemporal process, recent works on this topic employ facial spatiotemporal features to detect pain. These systems extract such features from the entire area of the face. In this paper, we show that by employing super-pixels we can divide the face into three regions, in a way that only one of these regions (about one third of the face) contributes to the pain estimation and the other two regions can be discarded. The experimental results on the UNBCMcMaster database show that the proposed system using this single region outperforms state-of-the-art systems in detecting no-pain scenarios, while it reaches comparable results in detecting weak and severe pain scenarios.
ER