  Human Computer Interaction (HCI) is an evolving area of research for coherent
communication between computers and human beings. Some of the important
applications of HCI as reported in literature are face detection, face pose
estimation, face tracking and eye gaze estimation. Development of algorithms
for these applications is an active field of research. However, availability of
standard database to validate such algorithms is insufficient. This paper
discusses the creation of such a database created under Near Infra-Red (NIR)
illumination. NIR illumination has gained its popularity for night mode
applications since prolonged exposure to Infra-Red (IR) lighting may lead to
many health issues. The database contains NIR videos of 60 subjects in
different head orientations and with different facial expressions, facial
occlusions and illumination variation. This new database can be a very valuable
resource for development and evaluation of algorithms on face detection, eye
detection, head tracking, eye gaze tracking etc. in NIR lighting.
