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We present a new approach to deal with visual tracking target tasks. This method uses a convolutional neural network able to rank a set of patches depending on how well the target is framed (centered). To cover the possible interferences our proposal is to feed the network with patches located in the surroundings of the object detected in the previous frame, and with different sizes, thus taking into...
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