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Automatic Retrieval of Specific Cows from Unlabeled Videos

Published: August 21, 2025 | arXiv ID: 2508.15945v1

By: Jiawen Lyu , Manu Ramesh , Madison Simonds and more

Potential Business Impact:

Identifies cows automatically from videos without deep learning.

Business Areas:
Image Recognition Data and Analytics, Software

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.

Country of Origin
🇺🇸 United States

Page Count
2 pages

Category
Computer Science:
CV and Pattern Recognition