Feb 13, 2018 · In this paper, we propose a novel scale adaptive tracking algorithm based on hierarchical CNN features, which learns correlation filters to ...

Abstract: In recent years, several correlation tracking algorithms have been proposed exploiting hierarchical features from deep convolutional neural ...

Nov 14, 2017 · In this paper, by using multilayer convolutional features jointly and constructing a scale pyramid, we propose an online scale adaptive tracking ...

In this paper, by using multilayer convolutional features jointly and constructing a scale pyramid, we propose an online scale adaptive tracking method. We ...

Sep 27, 2021 · In this paper, we propose a novel tracking method which can adaptively tune the weights of the convolutional responses obtained by features in different layers.

A novel robust algorithm which decomposes the task of tracking into translation and scale estimation is proposed which achieved outstanding performance ...

We estimate the translation by using five correlation filters with hierarchical convolutional features which produced multilevel correlation response maps to ...

In this paper, we propose a block target tracking method based on multi-convolutional layer features and Kernel correlation filter.

Moreover, the proposed approach extracts convolutional features from a deep convolutional neural network (DCNN) to accurately estimate the position and scale of ...

Feb 17, 2020 · The methods combining correlation filters (CFs) with the features of convolutional neural network (CNN) are good at object tracking.