{"title":"改进了从照片中自动识别豹子","authors":"Jacobie Mouton, Lynette van Zijl, M. Schurch","doi":"10.3957/056.050.0197","DOIUrl":null,"url":null,"abstract":"Two improvements on the automated image recognition of individual leopards (Panthera pardus) are presented. Firstly, a new method of automated segmentation on images, with a guaranteed side view of the animal, allows for a region of interest to be calculated automatically, reducing the manual effort of the image processing substantially. Secondly, improvements on the automated recognition of citizen science images with extreme viewpoints are detailed.","PeriodicalId":49492,"journal":{"name":"South African Journal of Wildlife Research","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Improved Automated Recognition of Leopards from Photographs\",\"authors\":\"Jacobie Mouton, Lynette van Zijl, M. Schurch\",\"doi\":\"10.3957/056.050.0197\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Two improvements on the automated image recognition of individual leopards (Panthera pardus) are presented. Firstly, a new method of automated segmentation on images, with a guaranteed side view of the animal, allows for a region of interest to be calculated automatically, reducing the manual effort of the image processing substantially. Secondly, improvements on the automated recognition of citizen science images with extreme viewpoints are detailed.\",\"PeriodicalId\":49492,\"journal\":{\"name\":\"South African Journal of Wildlife Research\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"South African Journal of Wildlife Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3957/056.050.0197\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"South African Journal of Wildlife Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3957/056.050.0197","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Improved Automated Recognition of Leopards from Photographs
Two improvements on the automated image recognition of individual leopards (Panthera pardus) are presented. Firstly, a new method of automated segmentation on images, with a guaranteed side view of the animal, allows for a region of interest to be calculated automatically, reducing the manual effort of the image processing substantially. Secondly, improvements on the automated recognition of citizen science images with extreme viewpoints are detailed.
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