BEHAVE - facilitating behaviour coding from videos with AI-detected animals
Applying video recording to investigate behaviour of wild animals reduces field workload, enhances data accuracy, and minimises disturbance to animals. However, extracting information from collected video data remains a cumbersome and time-consuming task if not, at least partly, automated. Recent ad...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-07-01
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| Series: | Ecological Informatics |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1574954125001153 |
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| author | Reinoud Elhorst Martyna Syposz Katarzyna Wojczulanis-Jakubas |
| author_facet | Reinoud Elhorst Martyna Syposz Katarzyna Wojczulanis-Jakubas |
| author_sort | Reinoud Elhorst |
| collection | DOAJ |
| description | Applying video recording to investigate behaviour of wild animals reduces field workload, enhances data accuracy, and minimises disturbance to animals. However, extracting information from collected video data remains a cumbersome and time-consuming task if not, at least partly, automated. Recent advancements in artificial intelligence (AI) offer automatic detection of target animals in video streams, however integrating these detections with software to annotate behaviours is missing. In addition, programs that are able to do these AI detections are often not easy to install or require specialised hardware to run. To address this gap, we introduce BEHAVE, a user-friendly, open-source, free, zero-install tool for coding animal behaviour in video recordings. BEHAVE can use the results of AI detections to skip sections of the video, can extract timestamps from video data, and supports programmable ethograms. The results are saved in a .csv file for further processing. BEHAVE includes a component that allows doing AI detections, on non-specialised hardware, also in a zero-install, user-friendly way. Due to these advantages, the behaviour coding process can be significantly accelerated, resulting in well-organised and readily exportable/importable data. |
| format | Article |
| id | doaj-art-4722eaa4bb2f4f61863fe6b2dde5ed01 |
| institution | OA Journals |
| issn | 1574-9541 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecological Informatics |
| spelling | doaj-art-4722eaa4bb2f4f61863fe6b2dde5ed012025-08-20T02:12:02ZengElsevierEcological Informatics1574-95412025-07-018710310610.1016/j.ecoinf.2025.103106BEHAVE - facilitating behaviour coding from videos with AI-detected animalsReinoud Elhorst0Martyna Syposz1Katarzyna Wojczulanis-Jakubas2Independent Researcher, Haarlem, Netherlands; Corresponding author.University of Gdańsk, Faculty of Biology, Department of Vertebrate Ecology and Zoology, Wita Stwosza 59, 80-308 Gdańsk, PolandUniversity of Gdańsk, Faculty of Biology, Department of Vertebrate Ecology and Zoology, Wita Stwosza 59, 80-308 Gdańsk, PolandApplying video recording to investigate behaviour of wild animals reduces field workload, enhances data accuracy, and minimises disturbance to animals. However, extracting information from collected video data remains a cumbersome and time-consuming task if not, at least partly, automated. Recent advancements in artificial intelligence (AI) offer automatic detection of target animals in video streams, however integrating these detections with software to annotate behaviours is missing. In addition, programs that are able to do these AI detections are often not easy to install or require specialised hardware to run. To address this gap, we introduce BEHAVE, a user-friendly, open-source, free, zero-install tool for coding animal behaviour in video recordings. BEHAVE can use the results of AI detections to skip sections of the video, can extract timestamps from video data, and supports programmable ethograms. The results are saved in a .csv file for further processing. BEHAVE includes a component that allows doing AI detections, on non-specialised hardware, also in a zero-install, user-friendly way. Due to these advantages, the behaviour coding process can be significantly accelerated, resulting in well-organised and readily exportable/importable data.http://www.sciencedirect.com/science/article/pii/S1574954125001153Animal behaviourBehavioural analysisArtificial intelligenceDeep learningImage recognitionContinuous video surveillance |
| spellingShingle | Reinoud Elhorst Martyna Syposz Katarzyna Wojczulanis-Jakubas BEHAVE - facilitating behaviour coding from videos with AI-detected animals Ecological Informatics Animal behaviour Behavioural analysis Artificial intelligence Deep learning Image recognition Continuous video surveillance |
| title | BEHAVE - facilitating behaviour coding from videos with AI-detected animals |
| title_full | BEHAVE - facilitating behaviour coding from videos with AI-detected animals |
| title_fullStr | BEHAVE - facilitating behaviour coding from videos with AI-detected animals |
| title_full_unstemmed | BEHAVE - facilitating behaviour coding from videos with AI-detected animals |
| title_short | BEHAVE - facilitating behaviour coding from videos with AI-detected animals |
| title_sort | behave facilitating behaviour coding from videos with ai detected animals |
| topic | Animal behaviour Behavioural analysis Artificial intelligence Deep learning Image recognition Continuous video surveillance |
| url | http://www.sciencedirect.com/science/article/pii/S1574954125001153 |
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