1 code implementation • Plos Computational Biology 2021 • Laetitia Hebert, Tosif Ahamed, Antonio C Costa, Liam O'Shaughnessy, Greg J. Stephens
An important model system for understanding genes, neurons and behavior, the nematode worm C. elegans naturally moves through a variety of complex postures, for which estimation from video data is challenging.
1 code implementation • bioRxiv 2020 • Katarzyna Bozek, Laetitia Hebert, Yoann Portugal, Greg J. Stephens
We present a comprehensive, computational method for tracking an entire colony of the honey bee Apis mellifera using high-resolution video on a natural honeycomb background.
no code implementations • 31 Dec 2018 • Katarzyna Bozek, Laetitia Hebert, Alexander S Mikheyev, Greg J. Stephens
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.
2 code implementations • CVPR 2018 • Katarzyna Bozek, Laetitia Hebert, Alexander S Mikheyev, Greg J. Stephens
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.