Metadata

Field Value

Title

Detection and tracking of belugas, kayaks and motorized boats in drone video using deep learning

Abstract

Publication general type

journal article

Project Name

[]

Keyword Vocabulary

Polar Data Catalogue

Keyword Vocabulary URL

https://www.polardata.ca/pdcinput/public/keywordlibrary

Theme

Title

Freshwater

URL

https://canwin-datahub.ad.umanitoba.ca/data/en/group/freshwater

Version

1.0

Publisher

Drone Systems and Applications

Date Published

2022

DOI

10.1139/juvs-2021-0024

Authors

Authors 1

Author Name

Harasyn, Madison

Type of Name

Personal

Email

Madison.harasyn@umanitoba.ca

Affiliation

Centre for Earth Observation Science - University of Manitoba

ORCID ID

https://orcid.org/0000-0002-5741-6766

ORCID

http://orcid.org/

Authors 2

Author Name

Chan, Wayne

Type of Name

Personal

Email

wayne.chan@umanitoba.ca

Affiliation

Centre for Earth Observation Science - University of Manitoba

ORCID ID

Authors 3

Author Name

Ausen, Emma

Type of Name

Personal

Email

emma.ausen@umanitoba.ca

Affiliation

Centre for Earth Observation Science - University of Manitoba

ORCID ID

Authors 4

Author Name

Barber, David

Type of Name

Personal

Email

david.barber@umanitoba.ca

Affiliation

Centre for Earth Observation Science - University of Manitoba

ORCID ID

0000-0001-9466-3291

ORCID

http://orcid.org/

License Name

Creative Commons Attribution 4.0 International

Licence Type

Open

CC-BY-4.0

Licence Schema Name

SPDX

Licence URL

https://spdx.org/licenses

Awards

Related Resources

Language

English

Data and Resources

Field Value

URL

https://canwin-datahub.ad.umanitoba.ca/data/dataset/54b0d7a1-8536-4d40-b1bb-daad81805f43/resource/5bcbb0bc-425b-4fad-b7ff-4c8599043dcf/download/juvs-2021-0024.pdf

Name

Detection and tracking of belugas, kayaks and motorized boats in drone video using deep learning

Description

Churchill Beluga Boat Drone Imagery related journal article published in Drone Systems and Applications. DOI: https://doi.org/10.1139/juvs-2021-0024

Format

PDF

Resource Category

supplemental

URL

https://canwin-datahub.ad.umanitoba.ca/data/publication/beluga-graphic-novel/resource/58aed159-4a62-4c2b-9978-967ad5f356a6

Name

One Beluga, Two Beluga, Three Beluga, Four: How to Count Belugas When You Run Out of Fingers and Toes

Description

Researchers at CEOS are often asked to write a field story about their work, to make their research more accessible. We decided to do something a little different for our work on applying machine learning to detecting and tracking beluga whales: we are presenting it as a comic-book style video!

Format

Resource Category

supplemental

Related Datasets

Field Value

Title

Churchill Beluga Boat Drone Imagery

URL

https://canwin-datahub.ad.umanitoba.ca/data/en/dataset/churchill-beluga-boat-drone-imagery