tag:joss.theoj.org,2005:/papers/tagged/videoJournal of Open Source Software2022-11-15T21:35:16ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/33082022-11-15T21:35:16Z2022-11-16T11:15:15ZCrystalGrowthTracker: A Python package to analyse crystal face advancement rates from time lapse synchrotron radiographyacceptedv0.92022-01-28 17:42:28 UTC792022-11-15 21:35:16 UTC720224333JoannaLengSchool of Computer Science, University of Leeds, Leeds, United Kingdom0000-0001-9790-162XJonathanH.PickeringSchool of Computer Science, University of Leeds, Leeds, United Kingdom0000-0001-5283-8065SvenL. m.SchroederSchool of Chemical and Process Engineering, University of Leeds, Leeds, United Kingdom, Diamond Light Source Ltd, Harwell Science and Innovation Campus, Harwell, United Kingdom, Research Complex at Harwell (RCaH), Rutherford Appleton Laboratory, Harwell, United Kingdom, EPSRC Centre for Innovative Manufacturing in Continuous Manufacturing and Advanced Crystallisation, University of Strathclyde, Glasgow, United KingdomGunjanDasSchool of Chemical and Process Engineering, University of Leeds, Leeds, United Kingdom, Diamond Light Source Ltd, Harwell Science and Innovation Campus, Harwell, United Kingdom, Research Complex at Harwell (RCaH), Rutherford Appleton Laboratory, Harwell, United Kingdom, EPSRC Centre for Innovative Manufacturing in Continuous Manufacturing and Advanced Crystallisation, University of Strathclyde, Glasgow, United Kingdom10.21105/joss.04333https://doi.org/10.5281/zenodo.7233987Pythonhttps://joss.theoj.org/papers/10.21105/joss.04333.pdfvideo processing, crystal growth, synchrotron radiationtag:joss.theoj.org,2005:Paper/36892022-08-12T12:28:31Z2023-08-21T09:36:28ZSimSGamE : Scheduling simulator for modern game enginesaccepted1.0.02022-06-29 08:57:36 UTC762022-08-12 12:28:31 UTC720224592MustaphaRegraguiInria Bordeaux, France0000-0001-6316-8079BaptisteCoyeInria Bordeaux, France, Ubisoft Bordeaux, France0000-0002-7619-4492LaercioLimaPillaInria Bordeaux, France, CNRS, France0000-0003-0997-586XRaymondNamystInria Bordeaux, France, Univ. Bordeaux, France, Labri, France0000-0001-7734-1258DenisBarthouInria Bordeaux, France, Labri, France, Bordeaux INP, France0000-0001-7110-203710.21105/joss.04592https://doi.org/10.5281/zenodo.6984771C++, Jupyter Notebook, Pythonhttps://joss.theoj.org/papers/10.21105/joss.04592.pdfTask Programming, Video-game engine, Scheduling, Soft Real Time Scheduling, Euro-Partag:joss.theoj.org,2005:Paper/32602022-06-20T06:29:24Z2022-06-20T11:43:32ZOfflineMOT: A Python package for multiple objects detection and tracking from bird view stationary drone videosacceptedv1.0.02021-12-20 13:27:22 UTC742022-06-20 06:29:24 UTC720224099YasinMaanYousifInstitut für Informatik, Technische Universität Clausthal 38678, Clausthal-Zellerfeld, Germany0000-0002-5282-7259AwadMukbilInstitut für Informatik, Technische Universität Clausthal 38678, Clausthal-Zellerfeld, Germany0000-0003-4665-1194JörgP.MüllerInstitut für Informatik, Technische Universität Clausthal 38678, Clausthal-Zellerfeld, Germany0000-0001-7533-385210.21105/joss.04099https://doi.org/10.5281/zenodo.6644282Pythonhttps://joss.theoj.org/papers/10.21105/joss.04099.pdfMultiple objects tracking, Traffic trajectories, Objects detection, Drone video analysistag:joss.theoj.org,2005:Paper/23742022-04-25T17:11:15Z2022-04-26T00:00:57ZLogodetect: One-shot detection of logos in image and video dataacceptedv0.12021-02-06 18:10:45 UTC722022-04-25 17:11:15 UTC720223124JorgeDavila-ChaconHeldenkombinat Technologies GmbHMaxPumperlaIUBH Internationale Hochschule, Pathmind Inc.10.21105/joss.03124https://doi.org/10.5281/zenodo.6483152Python, Jupyter Notebookhttps://joss.theoj.org/papers/10.21105/joss.03124.pdfobject detection, object recognition, computer vision, image processing, video processing, one-shot learningtag:joss.theoj.org,2005:Paper/30852022-04-20T20:32:49Z2022-04-22T13:11:15ZThe AutoActive Research Environmentacceptedv1.1.12021-09-28 08:32:13 UTC722022-04-20 20:32:49 UTC720224061SigurdAlbrektsenSmart Sensor Systems, SINTEF Digital, Trondheim, NorwayKasperGade BøtkerRasmussenSmart Sensor Systems, SINTEF Digital, Trondheim, NorwayAndersE.LiverudSmart Sensor Systems, SINTEF Digital, Trondheim, NorwaySteffenDalgardSmart Sensor Systems, SINTEF Digital, Trondheim, NorwayJakobHøgenesSmart Sensor Systems, SINTEF Digital, Trondheim, NorwaySiljeEkrollJahrenSmart Sensor Systems, SINTEF Digital, Trondheim, NorwayJanKocbachCentre for Elite Sports Research, Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, NorwayTrineM.SeebergSmart Sensor Systems, SINTEF Digital, Trondheim, Norway, Centre for Elite Sports Research, Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway10.21105/joss.04061https://doi.org/10.5281/zenodo.6393705C#https://joss.theoj.org/papers/10.21105/joss.04061.pdfVisualising sensor data and videos, Synchronizing sensor data and videos, Organising data, Python toolbox, Matlab toolboxtag:joss.theoj.org,2005:Paper/18352020-10-09T16:20:21Z2022-01-18T11:43:19Zpirecorder: Controlled and automated image and video recording with the raspberry piacceptedv3.1.02020-07-07 11:01:06 UTC542020-10-09 16:20:21 UTC520202584JolleW.JollesDepartment of Collective Behaviour, Max Planck Institute of Animal Behaviour, Konstanz, Germany, Zukunftskolleg, Institute of Advanced Study, University of Konstanz, Germany10.21105/joss.02584https://doi.org/10.5281/zenodo.4058628Jupyter Notebook, Pythonhttps://joss.theoj.org/papers/10.21105/joss.02584.pdfraspberry pi, camera, recording, video, automationtag:joss.theoj.org,2005:Paper/6172019-04-10T00:03:28Z2021-02-15T11:33:01Zdiff_classifier: Parallelization of multi-particle tracking video analysesacceptedv0.1-alpha2018-09-12 01:07:51 UTC362019-04-10 00:03:28 UTC42019989ChadCurtisDepartment of Chemical Engineering, University of Washington0000-0001-6312-392XArielRokemeScience Institute, University of Washington0000-0003-0679-1985ElizabethNanceDepartment of Chemical Engineering, University of Washington0000-0001-7167-706810.21105/joss.00989https://doi.org/10.5281/zenodo.2631862Python, Jupyter Notebookhttps://joss.theoj.org/papers/10.21105/joss.00989.pdfmulti-particle tracking, Amazon Web Services, parallelization