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1. Go to the Abandoned objects detection tab.
   
2. Clear the B/w mode checkbox to disable the black and white mode. By default, the checkbox is set.
3. In the Initial detection sensitivity [0, 1] field, specify the general sensitivity of the detector to detect abandoned objects in the range 0-1. The 0 value—no object is detected. The 1 value—maximum sensitivity. The default value is 0.70.
4. In the Sensitivity of primary detection in the foreground [0-1] field, specify the sensitivity of the detector to detect abandoned objects in the foreground in the range 0-1. The 0 value—no object is detected. The 1 value—maximum sensitivity. The default value is 0.70.
5. In the Object visibility [0, 1] field, specify in fractions the sensitivity of the detector to detect barely visible, merging with the background objects in the range 0-1. The higher the value of the parameter, the less noticeable an object can be detected. The recommended value (default) is 0.95.
6. In the The passenger Passenger traffic density [0, 1] field, specify the sensitivity of the object detection in conditions of intensive overlapping of the object by people passing people in the camera FOV in the the range 0-1. The default value is 0.99.
7. In the Minimum size of detected object field, specify in centimeters on one side the minimum allowable size of an object that you want to detect. You must specify the size of an object relative to the frame. Smaller objects don't trigger the detector. The default value is 20.
8. In the Maximum size of detected object field, specify in centimeters on one side the maximum allowable size of an object that you want to detect. You must specify the size of an object relative to the frame. Larger objects don't trigger the detector. The default value is 185.
9. In the Dead time (s) 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 10. The default value is 0. 
10. In the Events intersection level field, in the range 0-1, specify the level representing the way the repeated events 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 this parameter. The default value is 0.01. This parameter value is used in the Dead time parameter.
11. In the Detection time (s) field, specify the time interval in seconds after which an object is considered abandoned. The default value is 120.
12. Clear the Without person No person checkbox so that objects near people are also detected. By default, the checkbox is set, which means that objects near people are ignored.
13. Clear the Filter objects checkbox to disable the neural network filter of objects. By default, the checkbox is set, which means that the neural network filter is enabled.
14. In the Power of neural network filter for "phantom" triggers field, specify in the range 0-100 the level of filtering of monotone or monochromatic triggers, for example, spots on the floor. You must select the value of the parameter empirically. The default value is 8.
15. In the Power of filter for "phantom" triggers field, specify in the range 0-50 the level of shadow and glare filtering depending on scene contrast, lighting variability, and the presence of shadows and glare. You must select the value of the parameter empirically. The default value is 1.
16. Clear the Background loading checkbox to disable the loading of the video background. By default, the checkbox is set. After restarting, the detector loads the previously saved background, not to retrain the network model. 
17. 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 regularly with the periodicity specified in the Background saving period field. When you shut down the detector, the previously accumulated background is saved to a file for subsequent loading at startup.
    

    Info
    title Note
    If you use the Background loading and Background saving parameters during initial configuration, you save time on automatic training at the first startup. Even if the checkboxes are clear, the background is saved and updated over the specified period, so to completely disable background saving, specify 0 in the Background saving period field.

18. In the Background saving period field, specify the time period in seconds for which the background of the video is saved. The default value is 0. 
19. 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.

The Additional settings tab

1. Go to the Additional settings tab.
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2. Configure the false alarm filtering:
   1. From the Neural network filter mode for "phantom" triggers drop-down list, select which operation mode of the neural network filter mode for "phantom" triggers (false detections that appear when the detector operates on empty areas of the frame) you want to use:
      1. Precise (default) works slower, puts more load on the system, but the probability of the "phantom" triggers is significantly decreased;
      2. Fast works faster, puts less load on the system, but the probability of the "phantom" triggers increases.
   2. In the Power of neural network filter for "phantom" triggers field, specify the filtering level of the monotonous or monochromatic triggers, for example, spots on the floor connected with lighting change in the range 0-100. The value of the parameter is selected empirically, the recommended (default) value is 8 for the precise mode and 0.3 for the fast mode. If you change the mode, the optimal value is set automatically.
   3. In the Power of filter for "phantom" triggers field, specify the filtering level of shadows and flares depending on the scene contrast, lighting change, presence of shadows and flares. The value of the parameter is selected empirically, the default is 1.
3. Perform the advanced settings:
   1. In the Training period (s) field, specify the time in seconds during which the detector analyzes the scene. The longer the training process, the better the subsequent analysis. The recommended duration is from 15 to 30 seconds, 25 by default. The training quality depends on the "clarity" of the scene when the analytics is enabled: if the scene is noisy or the passenger traffic is too dense, we recommend increasing the period up to 5 minutes.
      There are three modes of configuring the training period:
      1. Automatically—automatic selection of the training period depending on other settings, equal to the -1 value;
      2. Manually—training period is set manually;
      3. Disabled—detector training is disabled. Equal to the 0 value.
   2. In the Post-training period (s) field, specify the time in seconds during which the detector "adapts" to the scene. If you disable the parameter, the false triggers can occur during the first minutes of the detector operation due to the algorithm peculiarity. It doesn't affect the quality of the subsequent analysis. There are three modes of configuring the post-training period:
      1. Automatically—automatic selection of the post-training period depending on other settings, equal to the -1 value;
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4. 1. 1. Manually—post-training period is set manually;
      2. Disabled—detector post-training is disabled. Equal to the 0 value.
   2. In the Frame sampling period (ms) field, specify the frame sampling rate for training in milliseconds. The default value is 67.
   3. In the Sampling rate [32, 256] field, specify the allowable margin of error for training results. The lower the value, the worse the training results. The recommended value is from 85 and greater. The default value is 128.
5. Click the OK button to save the settings of the detector.
 
7. To save the changes, click
the
8. the Apply button on the settings panel of the VI abandoned objects detection object.

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