Introduction
This section covers ATI, Lost and Track Queries on the Playback Tab.
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This query filters tracks through every possible variation, in order to select and display a specific quota of tracks (within the time period and record limitations). The track pathways appear as a white line on the PPI, but multiple tracks can be multi-coloured to differentiate them.
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Min. Sightings: The minimum number of sightings a track requires before it is recorded as a track. Toggle the 🛇, ≤ and ≥ buttons to define the value.
Min. Speed: The minimum speed value, either a maximum, minimum or equal to value. Toggle the 🛇, ≤, ≥, =, ≠, ⪥, and <> buttons to define the value.
Max. Speed: The maximum speed value, either a maximum, minimum or equal to value. Toggle the 🛇, ≤, ≥, =, ≠, ⪥, and <> buttons to define the value.
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Classification Filter: Enables you to filter by one or more track classification types. Just click the required types to highlight them or deselect all to remove the filter. Classification options are:
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The results of a Track Query are displayed as a list in the Results Panelpanel:
Select: Select the tracks you wish to focus on.
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Show: Select the main column option for all of the tracks to appear on the PPI Display. Alternatively, select the Show option next to each track you wish to view. They will appear on the PPI Display, like this example below:
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On the top left of the Track Query Panelpanel there are the following icons to be used with selected tracks:
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Analyse: An option to analyse the selected tracks. If selected then the Tracks Analysis Panel panel will be displayed.
Status: Change the status to draw specific attention to the track(s), and save from default track data culling. This will open the Set System Status Panel panel.
Tracks Analysis Panel
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This shows an analysis of all of the selected tracks:
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OK: Closes the Track Details Panelpanel.
Clone Track: create a Playback Track from selected track.
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Add Track: Select this option to create an ML Truth Track from the recorded Track. It will open an Add Truth Data panel.
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Classification
This is explained in Classification Configs.
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The Classification tab will not be available if the ML Classification feature is enabled in the Track Engine configuration. |
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This query searches through 'blind spot' data, which concerns tracks that are lost within the detection area. The results display the end point of the tracks pathways that finish before they leave the area of detection, within the time period and record limitations. The Lost points are displayed as squares. The variables are decided by the following categories:
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