mccf¶
-
menpofit.math.
mccf
(X, y, l=0.01, boundary='constant', crop_filter=True)[source]¶ Multi-Channel Correlation Filter (MCCF).
Parameters: - X (
(n_images, n_channels, image_h, image_w)
ndarray) – The training images. - y (
(1, response_h, response_w)
ndarray) – The desired response. - l (float, optional) – Regularization parameter.
- boundary (
{'constant', 'symmetric'}
, optional) – Determines how the image is padded. - crop_filter (bool, optional) – If
True
, the shape of the MOSSE filter is the same as the shape of the desired response. IfFalse
, the filter’s shape is equal to:X[0].shape + y.shape - 1
Returns: - f (
(1, response_h, response_w)
ndarray) – Multi-Channel Correlation Filter (MCCF) filter associated to the training images. - sXY (
(N,)
ndarray) – The auto-correlation array, whereN = (image_h+response_h-1) * (image_w+response_w-1) * n_channels
. - sXX (
(N, N)
ndarray) – The cross-correlation array, whereN = (image_h+response_h-1) * (image_w+response_w-1) * n_channels
.
References
[1] H. K. Galoogahi, T. Sim, and Simon Lucey. “Multi-Channel Correlation Filters”. IEEE Proceedings of International Conference on Computer Vision (ICCV), 2013. - X (