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The False Alarm track analysis system is a powerful tool designed to help identify and eliminate false alarm tracks, such as those generated from debris, reflections, or swaying trees. It achieves this by using a set of user identified false alarm tracks which have been carefully analysed to generate models. These models are then used to calculate a combined score to identify a live track being a false alarm. These false alarms are then displayed in the False Alarm Tracks list.
Please refer to False Alarm Analysis for more information regarding configuring your system to take advantage of this feature.
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Querying False Alarm Tracks follows the same process as running other queries in Witness, except, it does not recognize the time window filter. |
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Classification: This tab is explained under Classification Configs.
Id: Unique alphanumeric identification assigned to each track.
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Export: Select this option to export track record for posterity.
Delete: See below.
Deleting False Alarm Tracks
To delete a false alarm track, select the track and click the Delete icon:
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The track will then be deleted.
Reviewing False Alarm Tracks
Whilst we have found many reasons for a false alarm (please refer to these here) there may be other scenarios which are more specific to a particular client, situation or environment. This is why it is essential for customers to review their tracks to ensure that Witness can be configured to identify as many false alarms as possible, and adjust their configuration as required.
To aid this review process each track will be given a probability score:
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Adding Tracks to the False Alarm List
It is possible to add a track that the user believes to be a False Alarm, but which the system has not identified as such, to the list of False Alarm Tracks. The selection of suitable tracks to add is important because bad tracks or too many varied tracks will distort the analysis and reduce its effectiveness.
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