The 2nd Anti-UAV Workshop & Challenge: Methods and Results
This work addresses the problem of tracking unmanned aerial vehicles (UAVs) for researchers in computer vision, but it is incremental as it builds on previous challenges and datasets.
The paper describes the 2nd Anti-UAV Workshop & Challenge, which focused on developing methods for multi-scale object tracking using a publicly released dataset of 140 thermal infrared video sequences, with around 24 teams participating and top methods summarized.
The 2nd Anti-UAV Workshop \& Challenge aims to encourage research in developing novel and accurate methods for multi-scale object tracking. The Anti-UAV dataset used for the Anti-UAV Challenge has been publicly released. There are two subsets in the dataset, $i.e.$, the test-dev subset and test-challenge subset. Both subsets consist of 140 thermal infrared video sequences, spanning multiple occurrences of multi-scale UAVs. Around 24 participating teams from the globe competed in the 2nd Anti-UAV Challenge. In this paper, we provide a brief summary of the 2nd Anti-UAV Workshop \& Challenge including brief introductions to the top three methods.The submission leaderboard will be reopened for researchers that are interested in the Anti-UAV challenge. The benchmark dataset and other information can be found at: https://anti-uav.github.io/.