{"@context":{"@vocab":"https://cir.nii.ac.jp/schema/1.0/","rdfs":"http://www.w3.org/2000/01/rdf-schema#","dc":"http://purl.org/dc/elements/1.1/","dcterms":"http://purl.org/dc/terms/","foaf":"http://xmlns.com/foaf/0.1/","prism":"http://prismstandard.org/namespaces/basic/2.0/","cinii":"http://ci.nii.ac.jp/ns/1.0/","datacite":"https://schema.datacite.org/meta/kernel-4/","ndl":"http://ndl.go.jp/dcndl/terms/","jpcoar":"https://github.com/JPCOAR/schema/blob/master/2.0/"},"@id":"https://cir.nii.ac.jp/crid/1362825895952436480.json","@type":"Article","productIdentifier":[{"identifier":{"@type":"DOI","@value":"10.1111/1365-2656.12780"}},{"identifier":{"@type":"URI","@value":"https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2F1365-2656.12780"}},{"identifier":{"@type":"URI","@value":"https://besjournals.onlinelibrary.wiley.com/doi/pdf/10.1111/1365-2656.12780"}}],"dc:title":[{"@value":"A computer vision for animal ecology"}],"description":[{"type":"abstract","notation":[{"@value":"<jats:title>Abstract</jats:title><jats:p>\n<jats:list>\n\n<jats:list-item><jats:p>A central goal of animal ecology is to observe species in the natural world. The cost and challenge of data collection often limit the breadth and scope of ecological study. Ecologists often use image capture to bolster data collection in time and space. However, the ability to process these images remains a bottleneck.</jats:p></jats:list-item>\n\n<jats:list-item><jats:p>Computer vision can greatly increase the efficiency, repeatability and accuracy of image review. Computer vision uses image features, such as colour, shape and texture to infer image content.</jats:p></jats:list-item>\n\n<jats:list-item><jats:p>I provide a brief primer on ecological computer vision to outline its goals, tools and applications to animal ecology.</jats:p></jats:list-item>\n\n<jats:list-item><jats:p>I reviewed 187 existing applications of computer vision and divided articles into ecological description, counting and identity tasks.</jats:p></jats:list-item>\n\n<jats:list-item><jats:p>I discuss recommendations for enhancing the collaboration between ecologists and computer scientists and highlight areas for future growth of automated image analysis.</jats:p></jats:list-item>\n</jats:list>\n</jats:p>"}]}],"creator":[{"@id":"https://cir.nii.ac.jp/crid/1382825895952436352","@type":"Researcher","foaf:name":[{"@value":"Ben G. Weinstein"}],"jpcoar:affiliationName":[{"@value":"Department of Fisheries and Wildlife Marine Mammal Institute Oregon State University  Newport OR USA"}]}],"contributor":[{"@id":"https://cir.nii.ac.jp/crid/1382825895952436480","@type":"Researcher","foaf:name":[{"@value":"Laura Prugh"}],"role":"editor"}],"publication":{"publicationIdentifier":[{"@type":"PISSN","@value":"00218790"},{"@type":"EISSN","@value":"13652656"}],"prism:publicationName":[{"@value":"Journal of Animal Ecology"}],"dc:publisher":[{"@value":"Wiley"}],"prism:publicationDate":"2017-11-29","prism:volume":"87","prism:number":"3","prism:startingPage":"533","prism:endingPage":"545"},"reviewed":"false","dc:rights":["http://onlinelibrary.wiley.com/termsAndConditions#vor"],"url":[{"@id":"https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2F1365-2656.12780"},{"@id":"https://besjournals.onlinelibrary.wiley.com/doi/pdf/10.1111/1365-2656.12780"}],"createdAt":"2017-11-07","modifiedAt":"2023-09-24","relatedProduct":[{"@id":"https://cir.nii.ac.jp/crid/1360025429421438080","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Deep learning for automatic facial detection and recognition in Japanese macaques: illuminating social networks"}]},{"@id":"https://cir.nii.ac.jp/crid/1360025430192717952","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Detection of Honeybee Flower-Visiting Activities in Wide Areas Using High-Speed Vision"}]},{"@id":"https://cir.nii.ac.jp/crid/1360285705070379392","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Can <scp>AI</scp> predict animal movements? Filling gaps in animal trajectories using inverse reinforcement learning"}]},{"@id":"https://cir.nii.ac.jp/crid/1360567184056076288","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Advances in bio-logging techniques and their application to study navigation in wild seabirds"}]}],"dataSourceIdentifier":[{"@type":"CROSSREF","@value":"10.1111/1365-2656.12780"},{"@type":"CROSSREF","@value":"10.1007/s10329-024-01137-5_references_DOI_5OBPdZSWnkGDpaWKIhme81TujQn"},{"@type":"CROSSREF","@value":"10.1109/lsens.2024.3416451_references_DOI_5OBPdZSWnkGDpaWKIhme81TujQn"},{"@type":"CROSSREF","@value":"10.1002/ecs2.2447_references_DOI_5OBPdZSWnkGDpaWKIhme81TujQn"},{"@type":"CROSSREF","@value":"10.1080/01691864.2018.1553686_references_DOI_5OBPdZSWnkGDpaWKIhme81TujQn"}]}