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In this paper we present our preliminary work on model-based behavioral analysis of horse motion.
Statistical methods for tomographic image reconstruction
Stuart Geman · 1987
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Mosh: Motion and shape capture from sparse markers
Matthew Loper, Naureen Mahmood, and Michael J Black · 2014
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Smpl: A skinned multi-person linear model
Matthew Loper, Naureen Mahmood, Javier Romero, Gerard Pons-Moll, and Michael J Black · 2015
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One-shot video object segmentation
Sergi Caelles, Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Laura Leal-Taixé, Daniel Cremers, and Luc Van Gool · 2017
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3D video based detection of early lameness in dairy cattle
Khalid Abdul Jabbar · 2017
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Gait analysis of horses for lameness detection with radar sensors
Aman Shrestha, Julien Le Kernec, Francesco Fioranelli, John F Marshall, and Lance Voute · 2017
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3d menagerie: Modeling the 3d shape and pose of animals
Silvia Zuffi, Angjoo Kanazawa, David W Jacobs, and Michael J Black · 2017
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Creatures great and smal: Recovering the shape and motion of animals from video
Benjamin Biggs, Thomas Roddick, Andrew Fitzgibbon, and Roberto Cipolla · 2018
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DeepLabCut: markerless pose estimation of user-defined body parts with deep learning
Alexander Mathis, Pranav Mamidanna, Kevin M Cury, Taiga Abe, Venkatesh N Murthy, Mackenzie W Mathis, and Matthias Bethge · 2018
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Vertical movement symmetry of the withers in horses with induced forelimb and hindlimb lameness at trot
Marie Rhodin, Emma Persson-Sjödin, Agneta Egenvall, Filipe M Serra Bragança, Thilo Pfau, Lars Roepstorff, Michael A Weishaupt, Maj H Thomsen, P René van Weeren, and Elin Hernlund · 2018
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Spatial temporal graph convolutional networks for skeleton-based action recognition
Sijie Yan, Yuanjun Xiong, and Dahua Lin · 2018
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Lions and tigers and bears: Capturing non-rigid, 3D, articulated shape from images
Silvia Zuffi, Angjoo Kanazawa, and Michael J Black · 2018
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3D bird reconstruction: a dataset, model, and shape recovery from a single view
Marc Badger, Yufu Wang, Adarsh Modh, Ammon Perkes, Nikos Kolotouros, Bernd G Pfrommer, Marc F Schmidt, and Kostas Daniilidis · 2020
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Who left the dogs out? 3D animal reconstruction with expectation maximization in the loop
Benjamin Biggs, Oliver Boyne, James Charles, Andrew Fitzgibbon, and Roberto Cipolla · 2020
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Automated detection of lameness in sheep using machine learning approaches: novel insights into behavioural differences among lame and non-lame sheep
Jasmeet Kaler, Jurgen Mitsch, Jorge Vazquez Diosdado, Nicola Bollard, Tania Dottorini, and Keith Ellis · 2020
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RGBD-dog: Predicting canine pose from RGBD sensors
Sinéad Kearney, Wenbin Li, Martin Parsons, Kwang In Kim, and Darren Cosker · 2020
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Machine learning based fog computing assisted data-driven approach for early lameness detection in dairy cattle
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Using DeepLabCut for 3D markerless pose estimation across species and behaviors
Tanmay Nath, Alexander Mathis, An Chi Chen, Amir Patel, Matthias Bethge, and Mackenzie W Mathis · 2019
Cited alongside, same era.
Three-D Safari: Learning to estimate zebra pose, shape, and texture from images” in the wild”
Silvia Zuffi, Angjoo Kanazawa, Tanya Berger-Wolf, and Michael J Black · 2019
Cited alongside, same era.
Lameness of horses and diseases of the locomotory apparatus
Alexandre F A Liautard
Cited in the paper.
Mohit Taneja, John Byabazaire, Nikita Jalodia, Alan Davy, Cristian Olariu, and Paul Malone · 2020
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Wearable IMU-based early limb lameness detection for horses using multi-layer classifiers
Tarik Yigit, Feng Han, Ellen Rankins, Jingang Yi, Kenneth McKeever, and Karyn Malinowski · 2020
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