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Scale-Aware Siamese Object Tracking for Vision-Based UAM Approaching

In many industrial applications of unmanned aerial manipulator (UAM), visual approaching to the object is crucial to subsequent manipulating. In comparison with the widely-studied manipulating, the key to efficient vision-based UAM approaching, i.e., …

DeconNet: End-to-End Decontaminated Network for Vision-Based Aerial Tracking

Vision-based aerial tracking has proven enormous potential in the field of remote sensing recently. However, challenges such as occlusion, fast motion, and illumination variation remain crucial issues for realistic aerial tracking applications. These …

Aviation Fastener Rotation Detection for Intelligent Optical Perception with Edge Computing

Aiming at the problems of low efficiency, high cost and poor accuracy in existing methods in aviation fastener sorting process, a rotation target detection method for intelligent optical perception with edge computing was proposed. To further improve …

All-Day Object Tracking for Unmanned Aerial Vehicle

Unmanned aerial vehicle (UAV) has facilitated a wide range of real-world applications and attracted extensive research in the mobile computing field. Specially, developing real-time robust visual onboard trackers for all-day aerial maneuver can …

Tracker Meets Night: A Transformer Enhancer for UAV Tracking

Most previous progress in object tracking is realized in daytime scenes with favorable illumination. State-of-the-arts can hardly carry on their superiority at night so far, thereby considerably blocking the broadening of visual tracking-related …

Stereo Orientation Prior for UAV Robust and Accurate Visual Odometry

This paper presents a novel outlier rejection approach for feature-based visual odometry. The proposed approach is based on an empirical observation that shows that some 2D-3D correspondences with very low reprojection error can cause a high error in …

Spatial Reliability Enhanced Correlation Filter: An Efficient Approach for Real-Time UAV Tracking

Traditional discriminative correlation filter (DCF) has received great popularity due to its high computational efficiency. However, the lightweight framework of DCF cannot promise robust performance when the tracker faces appearance variations …

ReCF: Exploiting Response Reasoning for Correlation Filters in Real-Time UAV Tracking

Object tracking is a fundamental task for the visual perception system on the intelligent unmanned aerial vehicle (UAV). The high efficiency of correlation filter (CF) based trackers has advanced the widespread development of online UAV object …

Multi-Regularized Correlation Filter for UAV Tracking and Self-Localization

As a sort of model-free tracking approach, discriminative correlation filter (DCF)-based trackers have shown prominent performance in unmanned aerial vehicle (UAV) tracking. Nevertheless, typical DCFs acquire all samples oriented to filter training …

Onboard Real-Time Aerial Tracking with Efficient Siamese Anchor Proposal Network

Object tracking approaches based on siamese network have demonstrated their huge potential in remote sensing field recently. Nevertheless, due to the limited computing resource of aerial platforms and special challenges in aerial tracking, most …