{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,4]],"date-time":"2026-08-04T04:45:52Z","timestamp":1785818752375,"version":"3.56.0"},"reference-count":34,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2024,6,18]],"date-time":"2024-06-18T00:00:00Z","timestamp":1718668800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Centre for Research and Development of Poland","award":["POIR.01.01.01-00-2124\/20"],"award-info":[{"award-number":["POIR.01.01.01-00-2124\/20"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>With the expansion of green energy, more and more data show that wind turbines can pose a significant threat to some endangered bird species. The birds of prey are more frequently exposed to collision risk with the wind turbine blades due to their unique flight path patterns. This paper shows how data from a stereovision system can be used for an efficient classification of detected objects. A method for distinguishing endangered birds from common birds and other flying objects has been developed and tested. The research focused on the selection of a suitable feature extraction methodology. Both motion and visual features are extracted from the Bioseco BPS system and retested using a correlation-based and a wrapper-type approach with genetic algorithms (GAs). With optimal features and fine-tuned classifiers, birds can be distinguished from aeroplanes with a 98.6% recall and 97% accuracy, whereas endangered birds are delimited from common ones with 93.5% recall and 77.2% accuracy.<\/jats:p>","DOI":"10.3390\/s24123941","type":"journal-article","created":{"date-parts":[[2024,6,18]],"date-time":"2024-06-18T07:33:20Z","timestamp":1718696000000},"page":"3941","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Methodological Selection of Optimal Features for Object Classification Based on Stereovision System"],"prefix":"10.3390","volume":"24","author":[{"given":"Rafa\u0142","family":"Tkaczyk","sequence":"first","affiliation":[{"name":"Bioseco S.A., Budowlanych 68, 80-298 Gdansk, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2114-5626","authenticated-orcid":false,"given":"Grzegorz","family":"Madejski","sequence":"additional","affiliation":[{"name":"Bioseco S.A., Budowlanych 68, 80-298 Gdansk, Poland"},{"name":"Institute of Informatics, Faculty of Mathematics, Physics and Informatics, University of Gda\u0144sk, 80-308 Gdansk, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dawid","family":"Gradolewski","sequence":"additional","affiliation":[{"name":"Bioseco S.A., Budowlanych 68, 80-298 Gdansk, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Damian","family":"Dziak","sequence":"additional","affiliation":[{"name":"Bioseco S.A., Budowlanych 68, 80-298 Gdansk, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wlodek J.","family":"Kulesza","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Natural Sciences, Blekinge Institute of Technology, 371 79 Karlskrona, Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,6,18]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"264","DOI":"10.1111\/acv.12818","article-title":"Windfarm collisions in medium-sized raptors: Even increasing populations can suffer strong demographic impacts","volume":"26","author":"Duriez","year":"2023","journal-title":"Anim. 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