Identifying individual jaguars from camera-trap images using the HotSpotter program

被引：0
|
作者：
Wiig, Oystein [1 ]
da Silva Teixeira, Karollyna [2 ]
Sena, Leonardo [3 ]
de Oliveira, Halicia Celeste Santos [2 ]
Mendes-Oliveira, Ana Cristina [2 ]
机构：
[1] Univ Oslo, Nat Hist Museum, POB 1172 Blindern, NO-0318 Oslo, Norway
[2] Fed Univ Para, Inst Biol Sci, Lab Ecol & Zool Vertebrates LABEV, Belem, PA, Brazil
[3] Fed Univ Para, Biol Sci Inst, Ctr Adv Biodivers Studies Ceabio, Belem, PA, Brazil
来源：
MAMMALIA | 2023年 / 87卷 / 06期
关键词：
camera-trap; HotSpotter; individual identification; jaguars; Panthera onca;
D O I：
10.1515/mammalia-2023-0071
中图分类号：
Q95 [动物学];
学科分类号：
071002 ;
摘要：
We identified individual jaguars from a database of camera-trap images collected in the Eastern Amazonian rainforest using the artificial intelligence software HotSpotter. We identified individuals from 131 of 217 images. Twenty-five different individuals were identified based on images of the left side. We compared our results with the results from an undergraduate study that manually identified 18 jaguar individuals from 53 images also used in the present study. One of the 18 individuals was found to be misclassified based on HotSpotter. We found HotSpotter to be useful in identifying individual jaguars in our study area.
引用
收藏
页码：602 / 605
页数：4
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