Versions Compared

Key

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

...

  1. Go to the settings panel of the VideoIntellect abandoned objects street detection object that is created on the basis of the Camera object on the Hardware tab of the System settings window.

  2. In the Frames processed per second [0.016, 100] field, specify the number of frames that the detection tool processes per second. With a minimum value of 0.016, the video image is analyzed once per minute, with a maximum value of 100—once every one hundredth of a second. The To work with the detection tool, we recommend using the default value isof 12 FPS.
  3. In the Scale frame to (pix.) field, specify in the range 480-960 the size of the frame in pixels after scaling. The default value is 640.
  4. Set the Use GPU checkbox to use NVIDIA GPU when working with the neural network.
  5. Set the Show objects on image checkbox to highlight the detection zone with a red border on the Video surveillance monitor when an object detection event is received.
  6. From the Detection filtering drop-down list, select the filter that you want to use: Object filter, Object counting filter, Do not use filter (default). You can configure filters on the Postprocessing tab of the Detection settings window.
  7. Click the Configuration setup button. The Detection settings window opens.

...

  1. Go to the Street detection of abandoned objects tab.

  2. In the Object visibility [0, 1] field, specify in fractions the sensitivity of the detection tool to detect barely visible, merging with the background objects in the range 0-1. The higher the value of the parameter, the less noticeable object can be detected. The recommended value (default) is 0.72.
  3. In the Adjacent frame size (px) field, specify in pixels the maximum distance between the objects, the frames of which are merged. The default value is 10.
  4. In the Dead time field, specify the time interval in seconds, during which the occurrence of a repeated event is blocked. An event is considered repeated if its event intersection level is equal to or greater than the value specified in step 5. The default value is 0
  5. In the Events intersection level field, in the range 0-1, specify the level representing the way the repeated events will be are filtered. An event is considered repeated if the ratio of the intersection area to the area of ​​the conjunction of two events is greater than or equal to the value specified for in this parameter. The default value is is 0.01. This parameter value is used in the Dead time parameter.
  6. In the Detection time field, specify the time interval in seconds, after which an object is considered abandoned. The default value is 120.
  7. In the Scene static [0, 1] field, specify in fractions the level of scene statics in the range 0-1. The higher the value of the parameter, the less the scene dynamics is taken into account. The default value is 0.25.
  8. In the Object elongation [0, 1] field, specify in fractions the level of object elongation in the range 0-1. Objects with a greater level of elongation don't trigger the detection tool. The default value is 0.90.
  9. Set the Without person checkbox so that objects near people are ignored. By default, the checkbox is clear, which means that objects near people are also detected.
  10. Set the Filter objects checkbox to enable the neural network filter of objects. By default, the checkbox is clear, which means that the neural network filter is disabled.
  11. In the Maximum brightness field, specify in the range 0-255 the maximum allowable brightness of an object that you want to detect. The default value is 255.
  12. In the Maximum height of detected object (px) field, specify in pixels in the range 0-2160 the maximum allowable height of an object that you want to detect. Larger objects don't trigger the detection tool. The default value is 510.
  13. In the Maximum width of detected object (px) field, specify in pixels in the range 0-4096 the maximum width of an object that you want to detect. Larger objects don't trigger the detection tool. The default value is 550.
  14. In the Object minimum area (pxˆ2) field, specify in pixels raised to the second power the minimum area of an object that you want to detect. Smaller objects don't trigger the detection tool. The default value is 10.
  15. In the Initial detection sensitivity field, specify as a percentage the minimum value to distinguish an object from the background. If this parameter is lower than the threshold value for an object, the detection tool doesn't trigger. The default value is 10.20.
  16. In the Scene update threshold field, specify as a percentage the minimum value to update the background if the number of changes in the frame exceeds it. The default value is 10.
  17. Clear the Background loading checkbox to disable the loading video background. By default, the checkbox is set.
  18. Clear the Background saving checkbox so that the background isn't saved. By default, the checkbox is set, which means that the background of the video is saved for the time period specified in the Background saving period field. 
  19. In the Background saving period field, specify the time period in seconds, for which the backgound of the video is saved. The default value is 0.
  20. In the Number of analytics streams field, specify the number of video streams that are used for the operation of the neural network analytics. The default value is 4.
  21. Click the OK button to save the settings of the detection tool. 
  22. To save the changes, click the Apply  button on the settings panel of the VideoIntellect abandoned objects street detection object.

...