{"ID":2880003,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2508.15945","arxiv_id":"2508.15945","title":"Automatic Retrieval of Specific Cows from Unlabeled Videos","abstract":"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.","short_abstract":"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 re...","url_abs":"https://arxiv.org/abs/2508.15945","url_pdf":"https://arxiv.org/pdf/2508.15945v1","authors":"[\"Jiawen Lyu\",\"Manu Ramesh\",\"Madison Simonds\",\"Jacquelyn P. Boerman\",\"Amy R. Reibman\"]","published":"2025-08-21T20:27:30Z","proceeding":"cs.CV","tasks":"[\"cs.CV\",\"eess.IV\"]","methods":"[]","has_code":false}