Surveillance video with spatially registered graphics for decision support
Anthony E. Majoros, John D. Ianni, Paul Davies, Robert Higgins, Paul R. Havig · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2007
Conventional daylight video, and other forms of motion imagery, have an expanded role in communication and decision making as sensor platforms (e.g., unoccupied aerial vehicles [UAVs]) proliferate. Video, of course, enables more persons to become observers than does direct viewing, and presents a rapidly growing volume of content for those observers to understand and integrate. However, knowing the identity of objects and gaining an awareness of situations depicted in video can be challenging as the number of camera feeds increases, or as multiple decision makers rely on the same content. Graphic additions to streaming video, spatially registered and appearing to be parts of the observed scene, can draw attention to specific content, reduce uncertainty, increase awareness of evolving situations, and ultimately produce a type of image-based communication that reduces the need for verbal interaction among observers. This paper describes how streaming video can be enhanced for decision support using feature recognition and tracking; object identification, graphic retrieval and positioning; and collaborative capabilities.