[PDF][PDF] Multiple object tracking for yellow feather broilers based on foreground detection and deep learning.

Q Sun, T Wu, X Zou, X Qiu, H Yao… - INMATEH-Agricultural …, 2019 - drive.google.com
In view of the two problems existing in the tracing of yellow feather broilers in the flat
breeding house: the first is the fast location of yellow feather broilers and the second is the …

Don't get lost in the crowd: Graph convolutional network for online animal tracking in dense groups

A Parmiggiani, D Liu, E Psota, R Fitzgerald… - … and Electronics in …, 2023 - Elsevier
Tracking the behaviour of animals in group-housed situations is a critical area of study for
precision livestock farming, but it poses challenges in diverse and crowded environments …

Wizard: Unsupervised goats tracking algorithm

JA Vayssade, X Godard, M Bonneau - Computers and Electronics in …, 2023 - Elsevier
Computer vision is an interesting tool for animal behavior monitoring, mainly because it
limits animal handling and it can be used to record various traits using only one sensor …

Thermal sensor-based multiple object tracking for intelligent livestock breeding

W Kim, YB Cho, S Lee - IEEE Access, 2017 - ieeexplore.ieee.org
Visual object tracking is an essential technique for constructing intelligent livestock
management systems. Behavior patterns estimated from the trajectories of animals provide …

Vision-Based Cow Tracking and Feeding Monitoring for Autonomous Livestock Farming: The YOLOv5s-CA+ DeepSORT-Vision Transformer

Y Guo, W Hong, J Wu, X Huang… - IEEE Robotics & …, 2023 - ieeexplore.ieee.org
Animal tracking and feeding monitoring is crucial for automatic individual cow welfare
measurement and naturally becomes a prerequisite for autonomous livestock farming …

A dairy goat tracking method via lightweight fusion and Kullback Leibler divergence

J Zhang, S Yang, S Hu, J Ning, X Lan… - Computers and Electronics …, 2023 - Elsevier
As an important task in precision breeding, accurately tracking dairy goats is essential for
their disease prediction and abnormal behavior recognition. For efficiently capturing local …

A robust and flexible deep-learning workflow for animal tracking

A Dutta, N Pérez-Campanero, GK Taylor, A Zisserman… - bioRxiv, 2023 - biorxiv.org
Developments in automated animal tracking software are increasing the efficiency of data
collection and improving the standardization of behavioural measurements. There are now …

A systematic literature review on the use of deep learning in precision livestock detection and localization using unmanned aerial vehicles

DBM Yousefi, ASM Rafie, SAR Al-Haddad… - Ieee …, 2022 - ieeexplore.ieee.org
With the ever-increasing importance of dairy and meat production, precision livestock
farming (PLF) using advanced information technologies is emerging to improve farming …

Improved UAV-to-Ground Multi-Target Tracking Algorithm Based on StrongSORT

X Cao, Z Wang, B Zheng, Y Tan - Sensors, 2023 - mdpi.com
Unmanned aerial vehicles (UAV) are essential for aerial reconnaissance and monitoring.
One of the greatest challenges facing UAVs is vision-based multi-target tracking. Multi-target …

Deep learning based animal detection and tracking in drone video footage

T Jintasuttisak, A Leonce, M Sher Shah… - Proceedings of the 8th …, 2022 - dl.acm.org
In this paper, we propose a multiple animal tracking system in drone footage that is
designed and implemented using a Deep Neural Network (DNN) based tracking-by …