Image processing and collision detection algorithms developed under the current research are expected to contribute towards NASA's NextGen air traffic management research, especially to the Safe and Efficient Surface Operations (SESO) research focus area. In addition to the ramp area conflict detection application, the core image processing and collision detection algorithms are also expected to be applicable to other NASA research areas such as spacecraft formation flying and autonomous spacecraft rendezvous which is currently viewed as a very challenging research problem by NASA. Ramp areas in US airports are typically controlled by airlines. Industry experts estimate the airlines' cost resulting from ramp area accidents at $4 billion to $5 billion internationally each year. The proposed safety enhancement technologies are therefore of particular interest to both airports and the airlines involved in control of ramp area operations. Safety monitoring tools developed under the current research can also be used during ramp area design phase to identify and mitigate potential hazard areas.