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Found 2 papers, 1 papers with code
Pixel personality for dense object tracking in a 2D honeybee hive
We provide validated trajectories spanning 3000 video frames of 876 unmarked moving bees in two distinct colonies in different locations and filmed with different pixel resolutions, which we expect to be useful in the further development of general-purpose tracking solutions.
Towards dense object tracking in a 2D honeybee hive
Our results provide an important step towards efficient image-based dense object tracking by allowing for the accurate determination of object location and orientation across time-series image data efficiently within one network architecture.
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