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The Tracker object is designed for motion detection and saving video recordings to registers the object tracks in the camera FOV during recording and saves them into the VMDA metadata storage.

Configure To configure the Tracker object as follows, do the following:

1. Adjust the basic settings.
2. Optional: add mask to disable analysis in any part(s) of the camera field of viewFOV.
3. Optional: set detected object sizes or configure the perspective settings (see Configuring perspective).

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1. Go to the Hardware tab in the System settings dialog box.
2. Select In the Camera object in the objects tree of in the Hardware tab, select the Camera object, corresponding to the camera, the video image from which you want to analyze.
3. Create the Tracker object on the base of the Camera object. The settings panel for the created Tracker object appears on the right in the Hardware tab.
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4. Set the Show objects on image checkbox (1), if it is necessary to frame the objects are to be framed in the Video surveillance windowin the surveillance window. The frames are displayed on live video only, e.g. in Video surveillance monitor.

   Info
   title Note.
   To enable displaying display the objects tracker ID, set 1 value  for for the DrawDetectorNumbers line parameter in the HKEY_LOCAL_MACHINE\SOFTWARE\ ITV AxxonSoft\INTELLECT\Video (HKEY_LOCAL_MACHINE\SOFTWARE\Wow6432Node\ ITV AxxonSoft\INTELLECT\Video for 64-bit system) registry. Frame color is adjusted by the DrawDetectorColors parameter in the same registry: When value is 1, then the frame color is the average one color in the area When value is 0, then the frame color is white.

   
   

5. To allow the VMDA detectors monitoring monitor the objects abandoned objects in area covered by the camera FOV, set the Abandoned objects detection checkbox (2). See the The video requirements for this feature to operate are described in the Video requirements to be met for abandoned object detection tool of the Tracker object operation section.

   Info

   title	Note.

   If there is no need to monitor abandoned objects in area covered by the camera, disable

   , and the settings for VMDA detection tools are described in Creating and configuring the VMDA detection. Customization specifics:

   1. To ensure the operation of the Abandoned objects detection

   option to reduce Server load. Disabling this option you disable detectors configured to monitor abandoned objects.

   1. , it is necessary to additionally configure the Abandoned object detector type (see Motion in the Area detection tool configuration).

   2. By default, if the Abandoned objects detection
   feature
   1. option is enabled,
   then
   1. when viewing the live video and archive video, only the abandoned objects and disappeared objects will be framed on a video image. In order for the VMDA detector to detect only
   the disappeared
   1. the disappeared objects, or
   both
   1. only the abandoned
   and the disappeared
   1. objects
   at the same time
   1. , it is necessary to change the value of the VMDA.filterGivenOrTaken and VMDA.determineGivenTaken registry
   key
   1. keys (for details, see Registry keys reference guide, for more information about working with the registry, see Working with Windows OS registry).
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   title	Note

   1. The function of framing the abandoned and disappeared objects on the video image is available for

   both

   1. the standard and the converted fisheye video.

      Info
      title Note
      If there is no need to monitor the objects abandoned in the camera FOV, disable the Abandoned objects detectionoption to reduce Server load. When you disable this option, you also disable the detectors configured to monitor the abandoned objects.

      
      

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6. If the camera is installed on the moving object, then set the Camera shake removal checkbox (3) to stabilize the image and reduce detector’s errors (3)the error in the detector operation.

   Note
   title Attention!
   When the Camera shake removal option is active, the Server load increases.

   
   

7. If the video in the preview window is too distorted onthe Tracker mask, Detection parameters, and Perspective tabs is too distorted, set the Show actual video aspect ratio checkbox (4). In this case, the video may not occupy the entire area of the preview window.
8. Go to the Basic settings tab (5).
9. In the Metadata sources table, set the checkboxes next to the objects used for metadata creation (6):
   
   1. Internal source. The resources of the Tracker object itself are used as metadata source.

   2. Embedded detector.   Metadata goes comes from the detectors embedded in the camera (see Embedded detectors section).

      Info
      title Note.
      Functionality of Tracks recording tracks from the embedded detectors must be supported by the device. Furthermore, this functionality has to be integrated in the Intellect software Intellect.

      
      

   3. VideoIntellect detector. Metadata comes from VideoIntellect (see Configuring the integration with VideoIntellect software).

10. Set the value of the Sensitivity parameter by moving the slider to the required position (7). The value of this parameter value corresponds to minimal the minimum value of the moving object’s object averaged brightness on which the detector will trigger only to its motion, not to the video signal noise (including snow, rain, etc.).

    Info
    title Note.
    If the slider is in the left end position, then the value of the Sensitivity parameter is selected automatically.

    
    

11. Set the Waiting for loss slider into position corresponding to time when the object stops moving and is considered to be active and the detector is still tracking it (8). If the object is motionless for a longer period than the set value which has been set, then the object is considered to be lost. 

    Info
    title Note.
    If If the lost object starts moving it is considered as a new oneobject.

    
    

    Info
    title Note.
    Fine-tuning of the More sophisticated configuration of abandoned objects detection tool is performed using the registry keys – (see Registry keys reference guide).

    
    

12. In the Objects in frame, not no more than field, specify the maximum number of objects in the frame that are detected (9). If the number of objects is equal to or exceeds the specified value, then the MD_LIMIT event is generated (see CAM Camera section of Programming Guide for creating scripts (programming)). If the parameter is not set or equal to 0, then this event is not generated.

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To disable analysis in the area covered by the camera camera FOV, in the Tracker mask tab (1), click the Set mask button (2) in the Tracker mask tab (1) and specify the area in the video preview fieldarea. It is possible to disable analysis in several areas, i.e. to set several masks. To set an additional mask, click the Set mask button again and specify an additional masked area in the video preview fieldarea.
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To zoom in on the video preview field area for a more precise selection of the masked area, right-click the video preview area while holding down the Shift key on the keyboard after clicking the Set mask button. The video opens in a separate window, which can be resized by dragging its borders. After setting the mask in this window, close it by clicking the  button in the upper right corner.

Detected object sizes

To set the minimal minimum and maximal maximum sizes of the detected object, do the following:

1. Go to the Detection parameters tab (1).
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2. To stop the playback in the video preview area, click the Stop button (2).

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   title Note.
   To resume the playback, click the Resume playback button . : Image Modified

   
   

3. In the Minimal Minimum size group, specify the minimal minimum size of the detected object as a percentage of total image area (3) or click the Configure buttonand specify the size in the video preview area (4).

   Info
   title Note.
   Range The range of values of the Minimal Minimum size parameter varies from 0 to 30% relatively to the frame size.

   
   

4. In the Maximal Maximum size group, specify the maximal maximum size of the detected object as a percentage of total image area (5) or click the Configure button and specify the size in the video preview area (6).

   Info
   title Note.
   Maximal Maximum size is to should be bigger greater than the minimal one minimum size and not more greater than 100%. If the maximal maximum size is the same as the minimal, then there is no detectionequal to the minimum size, no detection is performed.

   
   

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