PlantTracing: Tracing Arabidopsis Thaliana Apex with CenterTrack

Abstract

This work applies an encoder-decoder-based machine learning network to detect and track the motion and growth of the flowering stem apex of Arabidopsis Thaliana. Based on the CenterTrack, a machine learning back-end network, we trained a model based on ten time-lapsed labeled videos and tested against three videos.

Tasks

Reproductions