Argos: A toolkit for tracking multiple animals in complex visual environments.

ABSTRACT: Automatically tracking the positions of multiple animals is often necessary for studying behaviours. This task involves multiple object tracking, a challenging problem in computer vision. Recent advances in machine learning applied to video analysis have been helpful for animal tracking. However, existing tools work well only in homogeneous environments with uniform illumination, features rarely found in natural settings. Moreover, available algorithms cannot effectively process discontinuities in animal motion such as sudden jumps, thus requiring laborious manual review.Here we present Argos, a software toolkit for tracking multiple animals in inhomogeneous environments. Argos includes tools for compressing videos based on animal movement, for generating training sets for a convolutional

SUBMITTER: Ray S 

PROVIDER: S-EPMC10621779 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature