{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,29]],"date-time":"2026-10-29T17:04:16Z","timestamp":1793293456391,"version":"4.5.0"},"reference-count":36,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2024,5,8]],"date-time":"2024-05-08T00:00:00Z","timestamp":1715126400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100005908","name":"Federal Ministry of Food and Agriculture","doi-asserted-by":"publisher","award":["FKZ 28KIDA001"],"award-info":[{"award-number":["FKZ 28KIDA001"]}],"id":[{"id":"10.13039\/501100005908","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Animals"],"abstract":"<jats:p>Camera traps are becoming widely used for wildlife monitoring and management. However, manual analysis of the resulting image sets is labor-intensive, time-consuming and costly. This study shows that automated computer vision techniques can be extremely helpful in this regard, as they can rapidly and automatically extract valuable information from the images. Specific training with a set of 1600 images obtained from a study where wild animals approaching wild boar carcasses were monitored enabled the model to detect five different classes of animals automatically in their natural environment with a mean average precision of 98.11%, namely \u2018wild boar\u2019, \u2018fox\u2019, \u2018raccoon dog\u2019, \u2018deer\u2019 and \u2018bird\u2019. In addition, sequences of images were automatically analyzed and the number of wild boar visits and respective group sizes were determined. This study may help to improve and speed up the monitoring of the potential spread of African swine fever virus in areas where wild boar are affected.<\/jats:p>","DOI":"10.3390\/ani14101408","type":"journal-article","created":{"date-parts":[[2024,5,8]],"date-time":"2024-05-08T09:58:56Z","timestamp":1715162336000},"page":"1408","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Automated Detection and Counting of Wild Boar in Camera Trap Images"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1964-8600","authenticated-orcid":false,"given":"Anne K.","family":"Sch\u00fctz","sequence":"first","affiliation":[{"name":"Institute of Epidemiology, Friedrich-Loeffler-Institut, Federal Research Institute for Animal Health, S\u00fcdufer 10, 17493 Greifswald-Insel Riems, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9658-823X","authenticated-orcid":false,"given":"Helen","family":"Louton","sequence":"additional","affiliation":[{"name":"Animal Health and Animal Welfare, Faculty of Agricultural and Environmental Science, University of Rostock, Justus-von-Liebig-Weg 6, 18059 Rostock, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mareike","family":"Fischer","sequence":"additional","affiliation":[{"name":"Institute of Mathematics and Computer Science, University of Greifswald, Walther-Rathenau-Stra\u00dfe 47, 17487 Greifswald, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Carolina","family":"Probst","sequence":"additional","affiliation":[{"name":"Institute of Epidemiology, Friedrich-Loeffler-Institut, Federal Research Institute for Animal Health, S\u00fcdufer 10, 17493 Greifswald-Insel Riems, Germany"},{"name":"Federal Ministry for Economic Cooperation and Development, Stresemannstra\u00dfe 94, 10963 Bonn, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7455-803X","authenticated-orcid":false,"given":"J\u00f6rn M.","family":"Gethmann","sequence":"additional","affiliation":[{"name":"Institute of Epidemiology, Friedrich-Loeffler-Institut, Federal Research Institute for Animal Health, S\u00fcdufer 10, 17493 Greifswald-Insel Riems, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7400-9409","authenticated-orcid":false,"given":"Franz J.","family":"Conraths","sequence":"additional","affiliation":[{"name":"Institute of Epidemiology, Friedrich-Loeffler-Institut, Federal Research Institute for Animal Health, S\u00fcdufer 10, 17493 Greifswald-Insel Riems, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8135-3814","authenticated-orcid":false,"given":"Timo","family":"Homeier-Bachmann","sequence":"additional","affiliation":[{"name":"Institute of Epidemiology, Friedrich-Loeffler-Institut, Federal Research Institute for Animal Health, S\u00fcdufer 10, 17493 Greifswald-Insel Riems, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,5,8]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"624","DOI":"10.1007\/s13280-015-0713-1","article-title":"Limitations of recreational camera traps for wildlife management and conservation research: A practitioner\u2019s perspective","volume":"44","author":"Newey","year":"2015","journal-title":"Ambio"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"617996","DOI":"10.3389\/fevo.2021.617996","article-title":"Next-Generation Camera Trapping: Systematic Review of Historic Trends Suggests Keys to Expanded Research Applications in Ecology and Conservation","volume":"9","author":"Delisle","year":"2021","journal-title":"Front. 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