drone-based object tracking

DroneCrowd is a benchmark for object detection, tracking and counting algorithms in drone-captured videos. It is a drone-captured large scale dataset formed by 112 video clips with 33,600 HD frames in various scenarios. Notably, it has annotations for 20,800 people trajectories with 4.8 million heads and several video-level attributes.

BioDrone is the first bionic drone-based single object tracking benchmark, it features videos captured from a flapping-wing UAV system with a major camera shake due to its aerodynamics. BioDrone highlights the tracking of tiny targets with drastic changes between consecutive frames, providing a new robust vision benchmark for SOT. 1. Large-scale and high-quality benchmark with robust vision challenges 2. Rich challenging factor annotation 3. Videos from Bionic-based UAV 4. Tracking baselines with comprehensive experimental analyses