Motion based parsing for video from observational psychology
Anil C. Kokaram, Erika Doyle, Daire Lennon, Laurent Joyeux, Ray Fuller · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2006
In Psychology it is common to conduct studies involving the observation of humans undertaking some task. The sessions are typically recorded on video and used for subjective visual analysis. The subjective analysis is tedious and time consuming, not only because much useless video material is recorded but also because subjective measures of human behaviour are not necessarily repeatable. This paper presents tools using content based video analysis that allow automated parsing of video from one such study involving Dyslexia. The tools rely on implicit measures of human motion that can be generalised to other applications in the domain of human observation. Results comparing quantitative assessment of human motion with subjective assessment are also presented, illustrating that the system is a useful scientific tool.