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Model updating is a critical problem in tracking. Inaccurate extraction of the foreground and background information in model adaptation would cause the model to drift and degrade the tracking performance. The most direct yet difficult solution to the drift problem is to obtain accurate boundaries of the target. We approach such a solution by proposing a novel model adaptation framework based on the...
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