Improved Automated Recognition of Leopards from Photographs

Jacobie Mouton, Lynette van Zijl, M. Schurch
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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.
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改进了从照片中自动识别豹子
对豹子个体的自动图像识别提出了两个改进。首先,一种在保证动物侧视的情况下对图像进行自动分割的新方法允许自动计算感兴趣区域,从而大大减少了图像处理的手动工作量。其次,对具有极端视角的公民科学图像的自动识别进行了详细的改进。
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