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Affine Geometrical Region CNN for Object Tracking
2020
IEEE Access
The state-of-the-art trackers using deep learning technology have little special strategy to gain the bounding box well when the target suffers drastic geometric deformation. In this paper, we take full use of the convolutional neural network (CNN) features of the deepest layer to represent the semantic feature model, and affine transformation to be as the space information model. A tracking method based on geometrical transformation region CNN is proposed. Firstly, affine transformation is
doi:10.1109/access.2020.2986498
fatcat:cs3h2i76lngbngcyvbbrlsozxy