DroneCrowd
Introduced by Wen et al. in Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark
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.
Papers
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