idtracker.ai: tracking all individuals in small or large collectives of unmarked animals
idtracker.ai: tracking all individuals in small or large collectives of unmarked animals
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DOI：
10.1038/s41592-018-0295-5
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发表时间：
2019-02-01
期刊：
影响因子：
48
通讯作者：
de Polavieja, Gonzalo G.
中科院分区：
文献类型：
--
作者：
Romero-Ferrero, Francisco;Bergomi, Mattia G.;de Polavieja, Gonzalo G.
对动物群体的理解受到追踪每个个体的能力的限制。我们描述了一种从视频中提取所有轨迹的算法和软件，对多达100个人的集体具有高识别精度。Idtracker.ai使用两个卷积网络：一个用于检测动物何时接触或交叉，另一个用于动物识别。该工具使用一种适应视频条件和跟踪难度的协议进行培训。
Understanding of animal collectives is limited by the ability to track each individual. We describe an algorithm and software that extract all trajectories from video, with high identification accuracy for collectives of up to 100 individuals. idtracker.ai uses two convolutional networks: one that detects when animals touch or cross and another for animal identification. The tool is trained with a protocol that adapts to video conditions and tracking difficulty.