Browse State-of-the-Art › drone-based object tracking
drone-based object tracking
3 papers with code · 0 benchmarks · 2 datasets archive 2025-07-28
drone-based object tracking
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
2 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Most implemented papers archive 2025-07-28
3 shown of 3 papers with code (4 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
-
18 Aug 2022 2 repositories listedThis paper considers a scenario of pursuing a moving target that may switch behaviors due to external factors in a dynamic environment by motion estimation using visual sensors.
-
2 May 2020 1 repository listedThe combination of the FCM segmentation and the angular scaling increased DroTrack precision by up to 9% and decreased the centre location error by $162$ pixels on average.
-
17 Apr 2020 1 repository listedA robust object detection is crucial for reliable results, hence the state-of-the-art deep neural network Mask-RCNN is applied for that purpose.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections