ITU-T P.912 PDF

This Recommendation defines subjective assessment methods for evaluating the quality of one-way video used for target recognition tasks. "Target" refers to something in the video that the viewer needs to identify (e.g., a face, object, or number). Target recognition video (TRV) is video that is used as a tool in order to accomplish a specific goal through the ability to recognize specific targets of interest in a video stream. TRV can be used in various video services such as surveillance, human identification, license plate identification, telemedicine, robot control, and remote monitoring and decision making.

This Recommendation considers three categories of target:

1) Human identification (including facial recognition).

2) Object identification.

3) Alphanumeric identification.

Each of these areas requires specific video test material that spans realistic conditions with stimuli that are carefully chosen to allow multiple scenarios to be created repeatedly with different objects of interest, in different lighting conditions, or with small changes in scene details.