Requirements for the operation of Neurotracker and its sub-tools are given in the table:
Camera
Resolution must be at least 640x360 pixels. We also don't recommend using a resolution higher than 1920×1080, since higher resolution doesn't increase the detection quality, but significantly increases the consumption of resources. The optimal resolution for solving typical tasks is 1280x720
The frame rate per second in the video stream from the camera is at least 8 for solving typical tasks
Neurotracker-based analytics works with both colorless (gray) and color images. When you use a neurofilter, we recommend using color cameras. When you use black-and-white cameras, the recognition quality can be noticeably worse
Correct operation of Neurotracker isn't guaranteed when using a fisheye camera.
Lighting
Lighting in the scene is at least 50 lux. 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)
The analyzed scene doesn't have reflective surfaces and sharp shadows from moving objects. If present, they must be masked
Camera shake doesn't result in image offsets greater than 1% of the frame size
Object images
The detected object must be clearly distinguishable by the human eye
Width and height of objects in the image must not exceed 75% of the frame size
When you use a neurofilter, the minimum width or height of an object must be at least 5% of the width/height of the frame
The image isn't noisy and not distorted by the artifacts of compression algorithm
The duration of the object visibility is at least six frames
Between two frames, an object must move in the direction of a distance not exceeding its size. This condition is necessary for the correct calculation of object track
The minimum value of pixel density per meter is observed:
Image resolution
Object type
Minimum pixel density per meter (ratio of the object width in pixels to the object width in meters)
Minimum object size in pixels, width x height
Ratio of the object width to the frame width as a percentage