Learning target tracking algorithm based on twin network
A twin network and learning target technology, applied in the field of learning target tracking algorithm, can solve the problem of reducing tracking speed and so on
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[0030] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.
[0031] A learning target tracking algorithm based on Siamese network, comprising the following steps:
[0032] Step 1: Set a function f to compare the feature map similarity between the template image x and the candidate image y, the maximum response value corresponds to the target position, x is generally the image centered on the target in the first frame, and y is the image in the nth frame The image searched centered on the n-1 frame image target;
[0033] Both inputs are substituted into the convolutional neural network, and the convolution processing function is used to learn the network parameter ρ to generate two cross-correlated maps,
[0034]
[0035] Exhaustive search is performed on x at y through the above formula, then the maximum value of the response corresponds to the position of the target;
[0036] Step 2: According to the above ...
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