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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:

...