Hi Tazzmani,
You can try the following approaches to make the point tracking faster:
1) Reduce the "NumPyramidLevels" property of "vision.PointTracker" which is by default set to 3.
2) Reduce the "BlockSize" property of vision.PointTracker which indicates the size of neighborhood around each point being tracked. "BlockSize" property is directly proportional to the computation time.
3) You can also reduce the "MaxIterations" that KLT algorithm performs to reduce the computation time. By default, it is assigned as 30, but the algorithm typically converges within 10 iterations.
You can refer to the following MathWorks documentation to understand more about the "vision.PointTracker" properties
I hope this helps.