- Mar 9, 2014
- 36,892
- 21,408
5.0.3 - September 15, 2019
With a continued focus on AI for version 5, it was time to upgrade one of the most critical of
algorithms in the software—the motion detector. You will find a third choice has been
added to the algorithm selection box found on the Motion configuration page from the
Trigger tab in camera settings—Edge vector. This will eventually replace simple as the default.
The algorithm discerns between leading edge and trailing edge motion and uses this
information to compute a motion vector (magnitude and angle). The goal for this new
algorithm is to reduce false positives (a consistent vector is required over the make time in
order to trigger) and to feed more advanced AI with more relevant frames. Please provide
feedback on effectiveness (in the form of BVR video clips for analysis)
More detail from the help file.
You may select to use either a Simple, Gaussian, or Edge Vector Algorithm. The Gaussian
algorithm uses slightly more complex heuristics for tracking pixel changes over time,
possibly helping to reduce false positives, but at a slight increase in CPU demand.
The simple algorithm emulates version 4, but the newer and somewhat more sophisticated
edge vector algorithm soon will become the default for version 5. This new algorithm
distinguishes between the leading and trailing edges of motion and you will see this if you
enable a highlighting option either in camera settings or in the viewer for testing. The
leading edge is painted a bright shade of blue, while the trailing edge appears in orange.
The remainder of the movement is a darker blue as was used in the simple algorithm.
The algorithm uses the leading and trailing edges to compute a vector, which consists of a
magnitude and angle for the motion of the object. A trigger will only occur if this vector is
consistent for the duration of the make time.
With a continued focus on AI for version 5, it was time to upgrade one of the most critical of
algorithms in the software—the motion detector. You will find a third choice has been
added to the algorithm selection box found on the Motion configuration page from the
Trigger tab in camera settings—Edge vector. This will eventually replace simple as the default.
The algorithm discerns between leading edge and trailing edge motion and uses this
information to compute a motion vector (magnitude and angle). The goal for this new
algorithm is to reduce false positives (a consistent vector is required over the make time in
order to trigger) and to feed more advanced AI with more relevant frames. Please provide
feedback on effectiveness (in the form of BVR video clips for analysis)
More detail from the help file.
You may select to use either a Simple, Gaussian, or Edge Vector Algorithm. The Gaussian
algorithm uses slightly more complex heuristics for tracking pixel changes over time,
possibly helping to reduce false positives, but at a slight increase in CPU demand.
The simple algorithm emulates version 4, but the newer and somewhat more sophisticated
edge vector algorithm soon will become the default for version 5. This new algorithm
distinguishes between the leading and trailing edges of motion and you will see this if you
enable a highlighting option either in camera settings or in the viewer for testing. The
leading edge is painted a bright shade of blue, while the trailing edge appears in orange.
The remainder of the movement is a darker blue as was used in the simple algorithm.
The algorithm uses the leading and trailing edges to compute a vector, which consists of a
magnitude and angle for the motion of the object. A trigger will only occur if this vector is
consistent for the duration of the make time.
