Scale Adaptive Kernelized Correlation Filter Tracker with Feature Fusion

Algorithm 1

The KCF algorithm.

Inputs:

 : training image patch;

 : regression target;

 : test image patch;

 : initial target position;

Outputs:

 : detected target position;

Training stage:

Compute the Gaussian kernel correlation of with itself:

using (3);

Compute coefficient using (2);

Position Detection:

Compute the response using (4);

Find the target position by maximizing ;

Model Online Update:

Update the template using the fixed learning rate using

(5).