Open-source tools for behavioral video analysis: Setup, methods, and best practices

K Luxem, JJ Sun, SP Bradley, K Krishnan, E Yttri… - Elife, 2023 - elifesciences.org
Recently developed methods for video analysis, especially models for pose estimation and
behavior classification, are transforming behavioral quantification to be more precise …

SLEAP: A deep learning system for multi-animal pose tracking

TD Pereira, N Tabris, A Matsliah, DM Turner, J Li… - Nature …, 2022 - nature.com
The desire to understand how the brain generates and patterns behavior has driven rapid
methodological innovation in tools to quantify natural animal behavior. While advances in …

Multi-animal pose estimation, identification and tracking with DeepLabCut

J Lauer, M Zhou, S Ye, W Menegas, S Schneider… - Nature …, 2022 - nature.com
Estimating the pose of multiple animals is a challenging computer vision problem: frequent
interactions cause occlusions and complicate the association of detected keypoints to the …

Animal pose estimation: A closer look at the state-of-the-art, existing gaps and opportunities

L Jiang, C Lee, D Teotia, S Ostadabbas - Computer Vision and Image …, 2022 - Elsevier
Over the past few years, research on animal pose estimation in computer vision field has
grown in many aspects such as 2D and 3D pose estimation, 3D mesh reconstruction, and …

DeepEthogram, a machine learning pipeline for supervised behavior classification from raw pixels

JP Bohnslav, NK Wimalasena, KJ Clausing, YY Dai… - Elife, 2021 - elifesciences.org
Videos of animal behavior are used to quantify researcher-defined behaviors of interest to
study neural function, gene mutations, and pharmacological therapies. Behaviors of interest …

Pose estimation-based lameness recognition in broiler using CNN-LSTM network

A Nasiri, J Yoder, Y Zhao, S Hawkins, M Prado… - … and Electronics in …, 2022 - Elsevier
Poultry behavior is a critical indicator of its health and welfare. Lameness is a clinical
symptom indicating the existence of health problems in poultry. Therefore, lameness …

Deep-learning-based identification, tracking, pose estimation and behaviour classification of interacting primates and mice in complex environments

M Marks, Q Jin, O Sturman, L von Ziegler… - Nature machine …, 2022 - nature.com
Quantification of behaviours of interest from video data is commonly used to study brain
function, the effects of pharmacological interventions, and genetic alterations. Existing …

Automated maternal behavior during early life in rodents (AMBER) pipeline

HE Lapp, MG Salazar, FA Champagne - Scientific Reports, 2023 - nature.com
Mother-infant interactions during the early postnatal period are critical for infant survival and
the scaffolding of infant development. Rodent models are used extensively to understand …

DeepWild: Application of the pose estimation tool DeepLabCut for behaviour tracking in wild chimpanzees and bonobos

C Wiltshire, J Lewis‐Cheetham… - Journal of Animal …, 2023 - Wiley Online Library
Studying animal behaviour allows us to understand how different species and individuals
navigate their physical and social worlds. Video coding of behaviour is considered a gold …

Automatically annotated motion tracking identifies a distinct social behavioral profile following chronic social defeat stress

J Bordes, L Miranda, M Reinhardt, S Narayan… - Nature …, 2023 - nature.com
Severe stress exposure increases the risk of stress-related disorders such as major
depressive disorder (MDD). An essential characteristic of MDD is the impairment of social …