Project Details

Description

Understanding the marine environment is a key component to a more sustainable Earth. Technologies to automate data collection and analysis of the marine environment are necessary. Underwater cameras and AI (here in the form of computer vision algorithms) are predicted to play major roles in this regards. This research project takes its starting point in a recently established underwater camera setup that captures video in various conditions. The project aim is an underwater computer vision system that can estimate the visibility, prune the massive amounts of video so only images containing marine organism remains, and finally classify the marine organisms.
StatusActive
Effective start/end date01/01/202001/01/2023

Research Output

  • 3 Article in proceeding

3D-ZeF: A 3D Zebrafish Tracking Benchmark Dataset

Pedersen, M., Haurum, J. B., Bengtson, S. H. & Moeslund, T. B., 2020, (Accepted/In press) 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, (I E E E Conference on Computer Vision and Pattern Recognition. Proceedings).

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Open Access
  • Re-Identification of Zebrafish using Metric Learning

    Haurum, J. B., Karpova, A., Pedersen, M., Bengtson, S. H. & Moeslund, T. B., Mar 2020, Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision Workshops, WACVW 2020. IEEE, p. 1-11 11 p. 9096922

    Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

    Open Access
    File
  • 82 Downloads (Pure)

    Detection of Marine Animals in a New Underwater Dataset with Varying Visibility

    Pedersen, M., Haurum, J. B., Gade, R., Moeslund, T. B. & Madsen, N., Jun 2019, IEEE Conference on Computer Vision and Pattern Recognition Workshops. IEEE, 10 p. (IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)).

    Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

    Open Access
    File
  • 108 Downloads (Pure)

    Press / Media

    Projekt om kunstig intelligens og undervandsforhold

    Malte Pedersen

    10/01/2020

    1 Media contribution

    Press/Media: Press / Media

    Datasets

    3D-ZeF

    Pedersen, M. (Creator), Haurum, J. B. (Creator), Bengtson, S. H. (Creator) & Moeslund, T. B. (Creator), MOTChallenge, 2020

    Dataset