Article

Consistent multi-animal pose estimation in cattle using dynamic Kalman filter based tracking

2024-01-16

Abstract excerpt

<title>Abstract</title> <p>The usage of computer vision to study animal behaviour has gained popularity during the last decade. Replacing human observers by computer vision lowers the cost of data collection and therefore allows to collect more extensive datasets. However, the majority of available computer vision algorithms to study animal behaviour is highly tailored towards a single research objective, limitin...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 00b83653-7ebc-507c-9159-4bad888e6675
DOI: 10.21203/rs.3.rs-3863814/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Consistent multi-animal pose estimation in cattle using dynamic Kalman filter based trackingDOI 10.21203/rs.3.rs-3863814/v1Read

OpenLabCluster: Active Learning Based Clustering and Classification of Animal Behaviors in Videos Based on Automatically Extracted Kinematic Body KeypointsSemantic proximity Read

A Unified Approach to Pose Estimation in Elephants and Other Quadrupeds using Noisy LabelsSemantic proximity Read

Large-scale capture of hidden fluorescent labels for training generalizable markerless motion capture modelsSemantic proximity Read

Using DeepLabCut for 3D markerless pose estimation across species and behaviorsSemantic proximity Read

OpenMonkeyChallenge: Dataset and Benchmark Challenges for Pose Tracking of Non-human PrimatesSemantic proximity Read

vmTracking: Virtual Markers Overcome Occlusion and Crowding in Multi-Animal Pose TrackingSemantic proximity Read

A Workflow for High Through-Put, High Precision Livestock Diagnostic Screening of Locomotor KinematicsSemantic proximity Read

Modelling Livestock Weights in a Marketplace Using Computer Vision TechnologiesSemantic proximity Read

FlyLimbTracker: an active contour based approach for leg segment tracking in unmarked, freely behaving <i>Drosophila</i>Semantic proximity Read

Capturing piglet behavior in novel object tests using pose recognitionSemantic proximity Read

Estimating genetics of body dimensions and activity levels in pigs using automated pose estimation.Semantic proximity Read

A real-time, multi-animal model for automatic face detection and identification of freely moving common marmosets based on YOLOv8 algorithmsSemantic proximity Read