activity
20202026
most citedVisual Identification of Individual Holstein-Friesian Cattle via Deep Metric Learning

175 citations · 198 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2026

Automated Re-Identification of Holstein-Friesian Cattle in Dense Crowds

Phoenix Yu, Tilo Burghardt, Andrew W Dowsey +1

Holstein-Friesian detection and re-identification (Re-ID) methods capture individuals well when targets are spatially separate. However, existing approaches, including YOLO-based s…

cs.CV2025

Cattle-CLIP: A Multimodal Framework for Dairy Cattle Behaviour Recognition from Video

Huimin Liu, Jing Gao, Daria Baran +4

Monitoring cattle behaviour provides valuable insights into animal health, productivity and welfare. However, robust behaviour recognition in real-world farm environments remains c…

cs.CV2025★ 1 cited

Vision transformer-based multi-camera multi-object tracking framework for dairy cow monitoring

Kumail Abbas, Zeeshan Afzal, Aqeel Raza +4

Activity and behaviour correlate with dairy cow health and welfare, making continual and accurate monitoring crucial for disease identification and farm productivity. Manual observ…

cs.CV2024★ 18 cited

Holstein-Friesian Re-Identification using Multiple Cameras and Self-Supervision on a Working Farm

Phoenix Yu, Tilo Burghardt, Andrew W Dowsey +1

We present MultiCamCows2024, a farm-scale image dataset filmed across multiple cameras for the biometric identification of individual Holstein-Friesian cattle exploiting their uniq…

cs.CV2024★ 1 cited

Universal Bovine Identification via Depth Data and Deep Metric Learning

Asheesh Sharma, Lucy Randewich, William Andrew +7

This paper proposes and evaluates, for the first time, a top-down (dorsal view), depth-only deep learning system for accurately identifying individual cattle and provides associate…

cs.CV2021★ 3 cited

Towards Self-Supervision for Video Identification of Individual Holstein-Friesian Cattle: The Cows2021 Dataset

Jing Gao, Tilo Burghardt, William Andrew +2

In this paper we publish the largest identity-annotated Holstein-Friesian cattle dataset Cows2021 and a first self-supervision framework for video identification of individual anim…

cs.CV2020★ 175 cited

Visual Identification of Individual Holstein-Friesian Cattle via Deep Metric Learning

William Andrew, Jing Gao, Siobhan Mullan +3

Holstein-Friesian cattle exhibit individually-characteristic black and white coat patterns visually akin to those arising from Turing's reaction-diffusion systems. This work takes…