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First results
Corner Detection Parameters:
N = 5000;
L = 7;
filterSize = 7;
thresh = 2;
Notes: Using Sobel filters
Disabling Gaussian blur
Tracker Parameters:
trackerdiameterx = 16;
trackerdiametery = 16;
tau = 5000000;
tAct = 0.005;
tInact = 0.001;
tFree = 0.0005;
alpha_pos = 0.1;
timewindow = 100000;
timescale = 1000000;
_Notes: Computing tracker's velocity as difference between the current tracker position and the previous one
Trained Models:
Using -s 4: nu-SVR (regressor), with RBF kernel type
Default parameters:
-g: gamma = 1/num_features = 0.16
-r: coef0 = 0
-c: cost = 1
-n: nu = 0.5
Results
Using a part of the training dataset, we get the following predictions:
The velocities used for training look very noisy
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