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Object Detection - Advanced
Objection detection depends on two pictures - the background picture and the foreground picture.
The difference between the two pictures are the missing objects, new objects or displaced objects.
These advanced settings allows the user to tweak the performance of the feature.
1. Unique settings checkbox – Indicates whether unique settings are used per camera or
otherwise. If checked, unique settings are used per camera. To have all cameras use the
same settings, keep this option unchecked and modify the settings in Camera All.
2. Activity Level – This parameter describes the general activity of the scenario. The options are
High. Medium and Low. Examples of scenes with high activity are mall entrances, train stations
and airport lobbies. High activity scenes can be described as scenes that are always or almost
always in a state of flux - people come and go fairly quickly. Examples of scenes with low
activity are jewelry stores, secluded areas and stock rooms. Low activity scenes can be
described as scenes that people don't visit often.
3. Movement – Movement is a parameter that describes how people in a scene moves. The
options are Very Fast, Fast, Medium, Slow and Very Slow. Examples of scenes where people
move quickly are corridors, mall entrances and fire exits. In these scenarios, people don't stay
at one place for even a small amount of time - they move continuously.
On the other end, scenes where people don't move too much are conference rooms,
restaurants and private offices. In these places, people tend to stay where they are for some
time. Note, however, that it is possible for people to keep still for a long time that the computer
may consider them an inanimate object.
Anywhere in between are scenes like people waiting for an elevator, people lining up to buy
tickets and people waiting for a green line so they can cross the street. The important
consideration here is how long people tend to stay where they are. Below is a rough
