Requirements for the operation of the Object tracker and its sub-detectors are given in the table:
Camera
Resolution must be at least 640x360 pixels. We also don't recommend using a resolution higher than 800×600
Higher resolution doesn't increase the detection quality, but significantly increases the CPU and RAM load.
FPS is at least 6
Tracker-based analytics works with both colorless (gray) and color images. If you use neural filter, we recommend using color cameras. When you use black-and-white cameras, the recognition quality can be noticeably worse
Camera shake must not result in image offsets greater than 1% of the frame size
Lighting
Moderate lighting. In conditions of insufficient or excessive lighting (night or light-striking), stable operation of the analytics isn't guaranteed
No abrupt changes in lighting
Scene and camera angle
Moving objects are visually separable from each other
The background is mostly static and doesn't change abruptly
Moving objects are minimally obscured by static objects in the scene (columns, trees, and so on)
Analytics can work incorrectly if:
the analyzed scene have reflective surfaces and sharp shadows from moving objects
there are extended monochromatic objects in the frame
When using the Abandoned object detector, abandoned objects can be obscured by moving objects no more than 10% of the time