Versions Compared

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.
Tip

Image requirements for the Object tracker and its sub-detectors

Hardware requirements for neural analytics operation

Requirements for the operation of the Object Tracker tracker and its sub-tools 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
    Note
    titleAttention!

    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
neurofilter
  • neural filter, we recommend using color cameras. When you use black-and-white cameras, the recognition quality can be noticeably worse
  • Camera shake
shouldn't
  • 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

may not
  • can work

correctly
  • 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 detection tool
  • object detector, abandoned objects

may
  • can be obscured by moving objects no more than 10% of the time

Object images
  • Image isn't noisy and isn't distorted by artifacts of the compression algorithm

  • The width or height of objects in the image should not:

    be less than 1% of the frame size (at resolutions no less than 1920x1080 pixels) or 15 pixels (at lower resolutions)

    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
  • When using the Abandoned Object detection tool:

    abandoned objects must be clearly visible in the image

    the width and height of objects in the image should not exceed 25% of the frame size

    The speed of movement of objects in the image should not be less than 1 pixel per second

    To the object to be detected, the duration of its visibility must be at least 8 frames

  • When the object moves between two adjacent frames in a certain direction, its distance of movement should not exceed its size. This condition is necessary for correct calculation of the object’s trajectory (track).
  • Provided that the specified requirements are met, the Abandoned Object detection tool is guaranteed to:

    ...