"Image understanding (IU) is the research area concerned with the design and experimentation of computer systems that integrate explicit models of a visual problem domain with one or more methods for extracting features from images and one or more methods for matching features with models using a control structure. Given a goal, or a reason for looking at a particular scene, these systems produce descriptions of both the images and the world scenes that the images represent."
– Image Understanding, by J.K. Tsotos. In Encyclopedia of Artificial Intelligence. Stuart C. Shapiro, editor. 1987. New York: John Wiley & Sons.
Nice and steady does it. A video analysis system uses motion tracking and machine learning to assess how good surgeons are at suturing a wound. "Different surgeons all have different styles of suturing," says Aneeq Zia at the Georgia Institute of Technology in Atlanta, whose team developed the system. The team first captured footage of 41 surgeons and nurses practising their suturing and knot-tying skills on foam boards. Participants also wore an accelerometer on each hand to capture motion data, and a clinician then watched the videos and rated each person's skills.