activity
20192023
most citedGoing Deeper than Tracking: a Survey of Computer-Vision Based Recognition of Animal Pain and Affective States

10 citations · 19 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2023

Predictive Modeling of Equine Activity Budgets Using a 3D Skeleton Reconstructed from Surveillance Recordings

Ernest Pokropek, Sofia Broomé, Pia Haubro Andersen +1

In this work, we present a pipeline to reconstruct the 3D pose of a horse from 4 simultaneous surveillance camera recordings. Our environment poses interesting challenges to tackle…

cs.CV2022★ 10 cited

Going Deeper than Tracking: a Survey of Computer-Vision Based Recognition of Animal Pain and Affective States

Sofia Broomé, Marcelo Feighelstein, Anna Zamansky +6

Advances in animal motion tracking and pose recognition have been a game changer in the study of animal behavior. Recently, an increasing number of works go 'deeper' than tracking,…

cs.CV2021

Equine Pain Behavior Classification via Self-Supervised Disentangled Pose Representation

Maheen Rashid, Sofia Broomé, Katrina Ask +4

Timely detection of horse pain is important for equine welfare. Horses express pain through their facial and body behavior, but may hide signs of pain from unfamiliar human observe…

cs.CV2021★ 9 cited

Automated Detection of Equine Facial Action Units

Zhenghong Li, Sofia Broomé, Pia Haubro Andersen +1

The recently developed Equine Facial Action Coding System (EquiFACS) provides a precise and exhaustive, but laborious, manual labelling method of facial action units of the horse.…

cs.CV2019

Dynamics are Important for the Recognition of Equine Pain in Video

Sofia Broomé, Karina Bech Gleerup, Pia Haubro Andersen +1

A prerequisite to successfully alleviate pain in animals is to recognize it, which is a great challenge in non-verbal species. Furthermore, prey animals such as horses tend to hide…