Adaptive Compressive Tracking via Online Vector Boosting Feature Selection
نویسندگان
چکیده
منابع مشابه
Robust online tracking via adaptive samples selection with saliency detection
Online tracking has shown to be successful in tracking of previously unknown objects. However, there are two important factors which lead to drift problem of online tracking, the one is how to select the exact labeled samples even when the target locations are inaccurate, and the other is how to handle the confusors which have similar features with the target. In this article, we propose a robu...
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ژورنال
عنوان ژورنال: IEEE Transactions on Cybernetics
سال: 2017
ISSN: 2168-2267,2168-2275
DOI: 10.1109/tcyb.2016.2606512