Dense-HOG-Based Drift-Reduced 3D Face Tracking for Infant Pain Monitoring

TitleDense-HOG-Based Drift-Reduced 3D Face Tracking for Infant Pain Monitoring
Publication TypeConference Paper
Year of Publication2016
AuthorsSaeijs, RWJJ, Tjon a Ten, WE, de With, PHN
Conference NameInt. Conf. Machine Vision
PublisherSPIE Digital Library
Conference LocationNice (France)
Keywordscylinder head model, dense HOG, face tracking, pain monitoring

This paper presents a new algorithm for 3D face tracking intended
for clinical infant pain monitoring under challenging conditions. The
algorithm uses a cylinder head model and head pose recovery by
alignment of dynamically extracted templates based on dense-HOG
features. The algorithm is motivated from the application context
and compared with a variant based on intensities. The paper reports
experimental results on videos of moving infants in hospital who are
relaxed or in pain. Results show good short-term tracking behavior
for poses up to 50 degrees from upright-frontal, with significantly
higher accuracy resulting from the use of dense-HOG features.