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Image requirements for the Tampering Detection

Requirements for the operation of the Tampering Detection are given in the table:

Camera
  • Resolution is at least 320х240 pixels
  • FPS is at least 1
  • Camera shake doesn't result in image offsets greater

To ensure the correct operation of the tampering detection, the following requirements should be met:

Camera requirements:
  • Resolution: Min. 320x240 pixels.
  • Frames per second: Min. 1 fps.
  • Color: video analytics work with both black-and-white and color images.
    • Camera shaking must not cause image shifting of more
    • than 1% of the frame size
    .
    Lighting
    requirements:
    • Moderate lighting.
    Lighting that is too little
    • In conditions of insufficient (night) or
    too much (bright sunlight) may impact the quality of video analytics.No major fluctuations in lighting levels.
    • excessive lighting (light-striking), stable operation of the analytics isn't guaranteed
    • No abrupt changes in lighting
    Scene and camera angle
    requirements:
    • Moving objects
    must be
    • are visually separable from each other
    in the video.
  • The background must be primarily static and not undergo sudden changes.
    • Background is mostly static and doesn't change abruptly
    • Moving objects are minimally obscured by static objects in the scene
    Minimal obscuration of moving objects by static objects
    • (columns, trees,
    etc.).Reflective surfaces and harsh
    • and so on)
    • Analytics can work incorrectly
      • on reflective surfaces, and if there are sharp shadows from moving objects
    can affect the quality of analytics.
  • Long single-color objects may not be tracked properly.
    • Object requirements:
  • There is no noise on the video image and there are no artifacts caused by the compression algorithm.

  • The width and height of the objects in the image must be not less than 1% of the frame size (if resolution is over 1920 pixels) or 15 pixels for lower resolution.

  • The width and height of the objects in the image must not exceed 75% of the frame size.

  • The speed of objects in the frame must be at least 1 pixel per second.

  • In order to detect the object it is to be visible at not less than 8 frames.

    • Within two adjacent frames the object cannot move in the movement direction for the distance that is longer than its size. This condition is essential for correct calculation of the object’s trajectory (track).
      • on long monochrome objects