Robust Visual Tracking via Hierarchical Convolutional Features
نویسندگان
چکیده
منابع مشابه
Robust Visual Tracking via Hierarchical Convolutional Features
Visual tracking is challenging as target objects often undergo significant appearance changes caused by deformation, abrupt motion, background clutter and occlusion. In this paper, we propose to exploit the rich hierarchical features of deep convolutional neural networks to improve the accuracy and robustness of visual tracking. Deep neural networks trained on object recognition datasets consis...
متن کاملHierarchical Convolutional Features for Visual Tracking Supplementary Document
DLT [8] http://winsty.net/dlt.html CSK [5] http://home.isr.uc.pt/ ̃henriques/circulant/ STC [12] http://www4.comp.polyu.edu.hk/ ̃cslzhang/STC/STC.htm KCF [6] http://home.isr.uc.pt/ ̃henriques/circulant/ MIL [1] http://vision.ucsd.edu/project/tracking-online-multiple-instance-learning Struck [3] http://www.samhare.net/research/struck CT [13] http://www4.comp.polyu.edu.hk/ ̃cslzhang/CT/CT.htm LSHT [4...
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ژورنال
عنوان ژورنال: IEEE Transactions on Pattern Analysis and Machine Intelligence
سال: 2019
ISSN: 0162-8828,2160-9292,1939-3539
DOI: 10.1109/tpami.2018.2865311