Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Malte Pedersen"'
Publikováno v:
Journal of Marine Science and Engineering, Vol 11, Iss 5, p 889 (2023)
The Giant Sunfish (Mola alexandrini) has unique patterns on its body, which allow for individual identification. By continuously gathering and matching images, it is possible to monitor and track individuals across location and time. However, matchin
Externí odkaz:
https://doaj.org/article/08f708aef6644e31bb3a7b4bc505109d
Publikováno v:
Water, Vol 12, Iss 12, p 3412 (2020)
Sewer pipe inspections are currently conducted by professionals who remotely control a robot from above ground. This expensive and slow approach is prone to human mistakes. Therefore, there is both an economic and scientific interest in automating th
Externí odkaz:
https://doaj.org/article/a73248682d404484969351d025c3e30d
Autor:
Asbjørn Malte Pedersen
Publikováno v:
Pedersen, A M 2023, ' Om at kultivere data ', BI Dag, Aarhus, Danmark, 09/03/2023-09/03/2023 .
Aarhus University
Aarhus University
Oplægget beskriver hvad der sker, når data og BI rammer den kliniske virkelighed i de lokale afdelinger samt det nødvendige arbejde, roller og kompetencer, der skal til for at lykkes med at blive data-drevet. This presentation describes what happe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::1a8a04c7bbcfef09d211eaa5d71f6758
https://pure.au.dk/portal/da/publications/om-at-kultivere-data(1b7ec8dd-672e-4b88-b541-c9b3f14a2589).html
https://pure.au.dk/portal/da/publications/om-at-kultivere-data(1b7ec8dd-672e-4b88-b541-c9b3f14a2589).html
Publikováno v:
Image Analysis ISBN: 9783031314346
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3a8cdaa86cad8ce0ba211a0aca2d954
https://doi.org/10.1007/978-3-031-31435-3_2
https://doi.org/10.1007/978-3-031-31435-3_2
Publikováno v:
Proceedings of the Northern Lights Deep Learning Workshop; Vol. 3 (2022): Proceedings of the Northern Lights Deep Learning Workshop 2022
We present the first work where re-identification ofthe Giant Sunfish (Mola alexandrini) is automated using computer vision and deep learning. We propose a pipeline that scores an mAP of 60.34% on a full rank of the novel TinyMola dataset which inclu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b29e564c3619f0e4b7b96cf893fafa0
https://septentrio.uit.no/index.php/nldl/article/view/6234
https://septentrio.uit.no/index.php/nldl/article/view/6234
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031200731
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34ccf4ad5b652b3742d4ff481778c536
https://doi.org/10.1007/978-3-031-20074-8_2
https://doi.org/10.1007/978-3-031-20074-8_2
Autor:
Madsen Niels, Malte Pedersen, K. Thomas Jensen, Peter Rask Møller, Rasmus Ern, Moeslund, Thomas B.
Publikováno v:
Madsen, N, Pedersen, M, Jensen, K T, Møller, P R, Andersen, R E & Moeslund, T B 2021, ' Fishing with C-TUCs (Cheap Tiny Underwater Cameras) in a sea of possibilities ', The Journal of Ocean Technology, vol. 16, no. 2, pp. 19-30 .
Aalborg University
Niels, M, Pedersen, M, Jensen, K T, Møller, P R, Ern, R & Moeslund, T B 2021, ' Fishing with C-TUCs (Cheap tiny underwater cameras) in a sea of possibilities ', Journal of Ocean Technology, vol. 16, no. 2, pp. 19-30 . < file:///C:/Users/hvst/AppData/Local/Temp/V16N2+essay+Madsen+et+al+LR.pdf >
Madsen, N, Pedersen, M, Jensen, K T, Møller, P R, Ern, R & Moeslund, T B 2021, ' Fishing with C-TUCs (Cheap Tiny Underwater Cameras) in a Sea of Possibilities ', The Journal of Ocean Technology, vol. 16, no. 2, pp. 19-30 . < https://www.thejot.net/article-preview/?show_article_preview=1250 >
Aarhus University
Aalborg University
Niels, M, Pedersen, M, Jensen, K T, Møller, P R, Ern, R & Moeslund, T B 2021, ' Fishing with C-TUCs (Cheap tiny underwater cameras) in a sea of possibilities ', Journal of Ocean Technology, vol. 16, no. 2, pp. 19-30 . < file:///C:/Users/hvst/AppData/Local/Temp/V16N2+essay+Madsen+et+al+LR.pdf >
Madsen, N, Pedersen, M, Jensen, K T, Møller, P R, Ern, R & Moeslund, T B 2021, ' Fishing with C-TUCs (Cheap Tiny Underwater Cameras) in a Sea of Possibilities ', The Journal of Ocean Technology, vol. 16, no. 2, pp. 19-30 . < https://www.thejot.net/article-preview/?show_article_preview=1250 >
Aarhus University
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::bec9082ad07157b62b288aef184dd904
https://vbn.aau.dk/da/publications/8f32e587-ff98-47c4-b68f-f7fca7707ae7
https://vbn.aau.dk/da/publications/8f32e587-ff98-47c4-b68f-f7fca7707ae7
Publikováno v:
Water
Volume 12
Issue 12
Haurum, J B, Bahnsen, C H, Pedersen, M & Moeslund, T B 2020, ' Water Level Estimation in Sewer Pipes using Deep Convolutional Neural Networks ', Water, vol. 12, no. 12, 3412 . https://doi.org/10.3390/w12123412
Water, Vol 12, Iss 3412, p 3412 (2020)
Volume 12
Issue 12
Haurum, J B, Bahnsen, C H, Pedersen, M & Moeslund, T B 2020, ' Water Level Estimation in Sewer Pipes using Deep Convolutional Neural Networks ', Water, vol. 12, no. 12, 3412 . https://doi.org/10.3390/w12123412
Water, Vol 12, Iss 3412, p 3412 (2020)
Sewer pipe inspections are currently conducted by professionals who remotely control a robot from above ground. This expensive and slow approach is prone to human mistakes. Therefore, there is both an economic and scientific interest in automating th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37958d482087772a233ba2543d6bb585
Publikováno v:
Pedersen, M, Haurum, J B, Bengtson, S H & Moeslund, T B 2020, 3D-ZeF: A 3D Zebrafish Tracking Benchmark Dataset . in 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) . IEEE, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), I E E E Conference on Computer Vision and Pattern Recognition. Proceedings, pp. 2426-2436, 2020 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, Washington, United States, 14/06/2020 . https://doi.org/10.1109/CVPR42600.2020.00250
CVPR
CVPR
In this work we present a novel publicly available stereo based 3D RGB dataset for multi-object zebrafish tracking, called 3D-ZeF. Zebrafish is an increasingly popular model organism used for studying neurological disorders, drug addiction, and more.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c81575595b353f24c40f1933fe9378c7
https://vbn.aau.dk/da/publications/1b1ce9ee-7f73-4f5d-b1a7-f7ec8fbd3820
https://vbn.aau.dk/da/publications/1b1ce9ee-7f73-4f5d-b1a7-f7ec8fbd3820
Autor:
Anastasija Karpova, Stefan Hein Bengtson, Joakim Bruslund Haurum, Thomas B. Moeslund, Malte Pedersen
Publikováno v:
Haurum, J B, Karpova, A, Pedersen, M, Bengtson, S H & Moeslund, T B 2020, Re-Identification of Zebrafish using Metric Learning . in Proceedings-2020 IEEE Winter Conference on Applications of Computer Vision Workshops, WACVW 2020 ., 9096922, IEEE, pp. 1-11, 2020 IEEE Winter Conference on Applications of Computer Vision Workshops (WACVW), Aspen, Colorado, United States, 01/03/2020 . https://doi.org/10.1109/WACVW50321.2020.9096922
WACV Workshops
WACV Workshops
Zebrafish are widely used for drug development and behavioral pattern studies. The currently employed zebrafish re-identification methods rely solely on top-view and grayscale images which require a significant amount of annotated data in order to pe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06731af5e650d3a62ed67befb0d10d6e
https://vbn.aau.dk/ws/files/322581943/Haurum_Re_Identification_of_Zebrafish_using_Metric_Learning_WACVW_2020_paper.pdf
https://vbn.aau.dk/ws/files/322581943/Haurum_Re_Identification_of_Zebrafish_using_Metric_Learning_WACVW_2020_paper.pdf