A novel kernel-based target tracking method with multi-feature fusion is proposed to improve the robustness of target tracking in a complex background.
This paper proposes a kernel-based target tracking method with multiple features fusion. The presented approach integrates SIFT, color and spatial features and ...
A novel kernel-based target tracking method with multi-feature fusion is proposed to improve the robustness of target tracking in a complex background and ...
Kernel-based Target Tracking with Multiple Features Fusion
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A novel kernel-based target tracking method with multi-feature fusion is proposed to improve the robustness of target tracking in a complex background.
A new adaptive kernel-based target tracking method is proposed to improve the robustness and accuracy of target tracking in a complex background.
Deep features fusion for KCF-based moving object tracking
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Sep 1, 2023 · This approach allows for the comprehensive tracking of an object by combining multiple features. Deep features-based transfer learning.
This paper presents a feature fusion-based tracking algorithm using optical flow under the non-prior training active feature model (NPT-AFM) framework.
Dec 2, 2021 · This study exploited the features hidden in different colour spaces, and proposed a multi-feature multi-filter fusion tracking method.
In order to increase the speed at which resources across these sensor networks can be allocated, data should be fused on-platform to the extent possible, ...
Oct 14, 2022 · A multi-feature adaptive fusion target tracking algorithm is proposed in this paper. First, the HOG feature, CN feature and Gray feature of the target are ...