仅用一段视频即可自动识别并定位牛群中的特定奶牛。
Automatic Retrieval of Specific Cows from Unlabeled Videos
- 输入每头牛一段视频，自动生成奶牛档案
- 无需深度学习，实现精准个体识别
- 适用于无标签、无分割的自然行走视频
目前公开文献中极少有自动化视频系统可实现奶牛群的免手持建档与识别。本文提出一个由AutoCattloger、eidetic cow recognizer和CowFinder组成的系统：AutoCattloger通过每头牛的一段视频建立奶牛档案（Cattlog）；eidetic cow recognizer不依赖深度学习即可完成个体识别；CowFinder则可在连续视频流中定位奶牛。该系统在挤奶厅待牛区中无约束行走的未标注、未分割视频中，成功实现了个体奶牛的精准查找。
原文摘要 · Abstract (English)
Few automated video systems are described in the open literature that enable hands-free cataloging and identification (ID) of cows in a dairy herd. In this work, we describe our system, composed of an AutoCattloger, which builds a Cattlog of dairy cows in a herd with a single input video clip per cow, an eidetic cow recognizer which uses no deep learning to ID cows, and a CowFinder, which IDs cows in a continuous stream of video. We demonstrate its value in finding individuals in unlabeled, unsegmented videos of cows walking unconstrained through the holding area of a milking parlor.
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