Data framing
In general, data can be be organized, or framed in different ways. Depending on how data is framed it may expose or enhance both understanding and depth of specific parts.
Object tracking data can be framed in different ways.
Applications that process tracking data in real-time, e.g. video overlays of tracked objects, benefit from continuous updates of tracked objects.
Both ADF and ONVIF supports this kind of framing using,
Applications that primarily post-process tracking data, i.e. not in real time, or one object track at a time, e.g. forensic search applications, benefit from a framing that is centered around individual object tracks.
ADF supports this kind of framing using the type ObjectTrack. The ObjectTrack type can be seen as representing a sort of track consolidation. It includes the track path represented as a list of TimeAndPosition, where TimeAndPosition is used to represent the object position at a particular time. It also includes aggregate values of some properties, such as min/max speed, across the object track.