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You get a close up image of a face, they're stunning.
Just those huge eyes, and there's a lot of detail in whisker patterns and all sorts of stuff. They really are beautiful.
So, Alexander and his team decided to capitalize on the dramatic facial features of mountain lions.
They added a few gadgets to their camera traps so that when motion was detected, a cougar kitten call was played.
This noise reliably peaked the interest of passerby pumas so that they looked up long enough for the camera trap to grab a face shot.
Five independent investigators reviewed the puma headshots and attempted to ID the individual animals.
Compared to the traditional side angle camera trap, the new attention-getting device was about 92% more accurate.
This work was recently published in the journal Ecology and Evolution.
This study is an important step on the path to being able to more confidently identify and track animals, in a really scalable way.
Snapping headshots of mountain lions also opens up new opportunities to involve AI techniques.
Like, the facial recognition technology used by airport security ― this could really expedite the image analyzation process for researchers.
I think that's very possible.
That could be a really useful technique in the future.
There have been a lot of other facial recognition studies done on animals, but it's never been with a camera trap.
So that was kind of the unique thing about this study was merging these two ideas.
And beyond being able to more precisely understand how many mountain lions are in an area, Alexander says that this new camera trap method could be used for tracking other critters that lack distinguishing side colors but have unique features elsewhere.
你拍到一张脸部的特写图像,它们非常吸引人。
那双大眼睛,胡须图案和各种各样的东西都有很多细节。它们真的很漂亮。
亚历山大和他的团队决定利用山狮引人注目的面部特征。
他们在抓拍相机中添加了一些小工具,这样当检测到山狮移动时,就会播放美洲狮的叫声。
这种声音确实引起了路过的美洲狮的兴趣,这样它们就会抬起头来,有足够长的时间让摄像机捕捉到脸部的照片。
五名独立调查人员查看了美洲狮的头部图像,并试图确认每只动物的身份。
与传统的侧面抓拍相机相比,这种新的吸引注意力的装置的准确度提高了92%左右。
这项研究最近发表在《生态学与进化》期刊上。
这项研究是在以一种真正可扩展的方式、更自信地识别和追踪动物的道路上迈出了重要的一步。
拍摄山狮的头部照片也为使用人工智能技术开辟了新的机会。
比如,机场安检使用的面部识别技术--这真的可以加快研究人员的图像分析过程。
我认为这是非常有可能的。
这在未来可能会是一项非常有用的技术。
已经有很多其他的面部识别研究在动物身上开展,但还从来没有使用过抓拍相机。
因此,这项研究的独特之处在于融合了这两种想法。
亚历山大说,除了能够更准确地了解一个地区有多少美洲狮之外,这种新的抓拍相机方法还可以用来跟踪其他侧边没有明显颜色但在其他地方有独特特征的生物。
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