Abstract: Highlights•We propose a novel tracking method using a deep network, i.e. Network in Network (NIN).•A method to transfer features learned from NIN on the source tasks to the tracking tasks.•The samples are simultaneously utilized to address the drifting problem.
External IDs:dblp:journals/jvcir/ChenYZZL16
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