ArticleEcology and evolution2021
Automatic detection of fish and tracking of movement for ecology.
Article in Ecology and evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed, 82 citations in OpenAlex.
- The Motion Picture: Leveraging Movement to Enhance AI Object Detection in Ecology.Ecology and evolution · 2025Article
- Collective properties of Petitella georgiae in tube environments.Scientific reports · 2024Article
- Assessment of sustainable baits for passive fishing gears through automatic fish behavior recognition.Scientific reports · 2024Article
- Simulating individual movement in fish.Scientific reports · 2023Article
- Optimising sampling of fish assemblages on intertidal reefs using remote underwater video.PeerJ · 2023Article
- Towards the fully automated monitoring of ecological communities.Ecology letters · 2022Review
- Estimating the movements of terrestrial animal populations using broad-scale occurrence data.Movement ecology · 2021Review
- Automatic detection of fish and tracking of movement for ecology.Ecology and evolution · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Animal movement studies are conducted to monitor ecosystem health, understand ecological dynamics, and address management and conservation questions. In marine environments, traditional sampling and monitoring methods to measure animal movement are invasive, labor intensive, costly, and limited in the number of individuals that can be feasibly tracked. Automated detection and tracking of small-scale movements of many animals through cameras are possible but are largely untested in field conditions, hampering applications to ecological questions.Here, we aimed to test the ability of an automated object detection and object tracking pipeline to track small-scale movement of many individuals in videos. We applied the pipeline to track fish movement in the field and characterize movement behavior. We automated the detection of a common fisheries species (yellowfin bream,
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.