{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T14:56:44Z","timestamp":1777733804276,"version":"3.51.4"},"reference-count":50,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,5,30]],"date-time":"2021-05-30T00:00:00Z","timestamp":1622332800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,5,30]],"date-time":"2021-05-30T00:00:00Z","timestamp":1622332800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,5,30]],"date-time":"2021-05-30T00:00:00Z","timestamp":1622332800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001321","name":"National Research Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001321","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,5,30]]},"DOI":"10.1109\/icra48506.2021.9561338","type":"proceedings-article","created":{"date-parts":[[2021,10,20]],"date-time":"2021-10-20T00:28:35Z","timestamp":1634689715000},"page":"13901-13908","source":"Crossref","is-referenced-by-count":51,"title":["AcinoSet: A 3D Pose Estimation Dataset and Baseline Models for Cheetahs in the Wild"],"prefix":"10.1109","author":[{"given":"Daniel","family":"Joska","sequence":"first","affiliation":[]},{"given":"Liam","family":"Clark","sequence":"additional","affiliation":[]},{"given":"Naoya","family":"Muramatsu","sequence":"additional","affiliation":[]},{"given":"Ricardo","family":"Jericevich","sequence":"additional","affiliation":[]},{"given":"Fred","family":"Nicolls","sequence":"additional","affiliation":[]},{"given":"Alexander","family":"Mathis","sequence":"additional","affiliation":[]},{"given":"Mackenzie W.","family":"Mathis","sequence":"additional","affiliation":[]},{"given":"Amir","family":"Patel","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","first-page":"1","article-title":"Representing attitude: Euler angles, unit quaternions, and rotation vectors","volume":"58","author":"diebel","year":"2006","journal-title":"Matrix"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46466-4_3"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00546"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00416"},{"key":"ref31","doi-asserted-by":"crossref","first-page":"656","DOI":"10.1242\/bio.20148086","article-title":"Markerless 3d motion capture for animal locomotion studies","volume":"3","author":"sellers","year":"2014","journal-title":"Open Biology"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00084"},{"key":"ref37","article-title":"The OpenCV Library","author":"bradski","year":"2000","journal-title":"Dr Dobb's Journal of Software Tools"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.7554\/eLife.47994"},{"key":"ref35","article-title":"Creatures great and SMAL: Recovering the shape and motion of animals from video","author":"biggs","year":"2018","journal-title":"ACCV"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1038\/s41593-018-0209-y"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00551"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00444"},{"key":"ref29","first-page":"5714","article-title":"Unsupervised 3d pose estimation with geometric selfsupervision","author":"chen","year":"2019","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1002\/9781119113713.ch11"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"491","DOI":"10.1038\/s41586-019-1322-0","article-title":"Untethered flight of an insect-sized flapping-wing microscale aerial vehicle","volume":"570","author":"jafferis","year":"2019","journal-title":"Nature"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/2816795.2818013"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3386569.3392410"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2017.00055"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.216"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.464"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00351"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01249-6_46"},{"key":"ref50","first-page":"13908","article-title":"Learning agile robotic locomotion skills by imitating animals","author":"peng","year":"2020"},{"key":"ref10","article-title":"Macaquepose: A novel ‘in the wild'macaque monkey pose dataset for markerless motion capture","author":"labuguen","year":"2020","journal-title":"BioRxiv"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1038\/s41592-019-0686-2"},{"key":"ref11","first-page":"195","article-title":"Who left the dogs out? 3d animal reconstruction with expectation maximization in the loop","author":"biggs","year":"2020","journal-title":"European Conference on Computer Vision"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00697"},{"key":"ref13","first-page":"18591868","article-title":"Pretraining boosts out-of-domain robustness for pose estimation","author":"mathis","year":"2021","journal-title":"Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-020-18441-5"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.248"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-009-0273-6"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58558-7_11"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00554"},{"key":"ref19","article-title":"Deep learning-based human pose estimation: A survey","author":"zheng","year":"2020"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/LSENS.2017.2716618"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1038\/nature12295"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"21522176","DOI":"10.1038\/s41596-019-0176-0","article-title":"Using deeplabcut for 3d markerless pose estimation across species and behaviors","volume":"14","author":"nath","year":"2019","journal-title":"Nature Protocols"},{"key":"ref5","author":"hartley","year":"2003","journal-title":"Multiple View Geometry in Computer Vision"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuron.2020.09.017"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2002.808470"},{"key":"ref49","doi-asserted-by":"crossref","DOI":"10.1016\/j.conb.2021.04.004","article-title":"Measuring and modeling the motor system with machine learning","author":"hausmann","year":"2021"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00959"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/s10107-004-0559-y"},{"key":"ref45","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-319-58821-6","volume":"67","author":"hart","year":"2017","journal-title":"Pyomo-Optimization Modeling in Python"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1093\/icb\/icaa018"},{"key":"ref47","article-title":"collection of fortran codes for large-scale scientific computation","author":"hsl","year":"2007"},{"key":"ref42","article-title":"Kalman and bayesian filters in python","author":"labbe","year":"2014"},{"key":"ref41","author":"forsyth","year":"2002","journal-title":"Computer Vision A Modern Approach"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.compchemeng.2013.11.018"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CDC.2018.8619140"}],"event":{"name":"2021 IEEE International Conference on Robotics and Automation (ICRA)","location":"Xi'an, China","start":{"date-parts":[[2021,5,30]]},"end":{"date-parts":[[2021,6,5]]}},"container-title":["2021 IEEE International Conference on Robotics and Automation (ICRA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9560720\/9560666\/09561338.pdf?arnumber=9561338","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,12]],"date-time":"2023-01-12T22:41:29Z","timestamp":1673563289000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9561338\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,30]]},"references-count":50,"URL":"https:\/\/doi.org\/10.1109\/icra48506.2021.9561338","relation":{},"subject":[],"published":{"date-parts":[[2021,5,30]]}}}