基于JDE 模型的群养生猪多目标跟踪.

涂淑琴, 黄磊, 梁云, 黄正鑫… - Transactions of the …, 2022 - search.ebscohost.com
为实现群养生猪在不同场景下(白天与黑夜, 猪只稀疏与稠密) 的猪只个体准确检测与实时跟踪,
该研究提出一种联合检测与跟踪(Joint Detection and Embedding, JDE) 模型 …

基于CenterNet 搭配优化DeepSORT 算法的断奶仔猪目标跟踪方法研究.

张伟, 沈明霞, 刘龙申, 孙玉文… - Journal of Nanjing …, 2021 - search.ebscohost.com
[目的] 断奶仔猪是生猪养殖业中的重点关注对象ꎬ 群养环境下的仔猪精准跟踪是分析仔猪个体
行为, 监测仔猪个体健康的基础ꎮ 本文提出1 种基于深度学习的断奶仔猪目标跟踪方法ꎮ [方法] …

[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 …

SMT: Self-supervised Approach for Multiple Animal Detection and Tracking

M Moosa, MM Yamin, E Hashmi, A Beghdadi… - … Conference on Artificial …, 2024 - Springer
In the domain of animal farming and wildlife management, monitoring animal behavior and
movement is crucial. This paper proposes an efficient online multi-object tracking framework …

Ecaf-Track: Enhanced Cascaded Association Flow for Livestock Tracking in Farming Scenarios

S Huo, Y Sun, Q Guo, A Putten, C Orsini… - Elizabeth and Bijma … - papers.ssrn.com
Animal tracking is an essential tool for analyzing animal movement to provide farmers with
indicators about individual and group-level health and welfare. The practical production …

A pig tracking algorithm with improved IOU-tracker

W Gong, J Wang, L Mao, L Lu - International Conference on …, 2022 - spiedigitallibrary.org
As one of the key technologies for pig behavior recognition, multi-target tracking is of great
significance in the field of automated monitoring of large-scale pig farms. Aiming at adhesion …

Tracking-by-self detection: A self-supervised framework for multiple animal tracking

CB Dev Narayan, F Rahman, M Ullah… - … Conference on Artificial …, 2023 - Springer
Animal tracking is a crucial aspect of animal phenotyping, and industries are using computer
vision-based methods to enhance their products. In this paper, we adopt the tracking-by …

Tracking livestock using a fully connected network and Kalman filter

F Sarwar, A Griffin, T Pasang - International Symposium on Geometry and …, 2021 - Springer
Multiple object tracking (MOT) consists of following the trajectories of different objects in a
video with either fixed or moving background. In recent years, the use of deep learning for …

UAV Farmland Object Tracking Based on Improved QDTrack

Z Li, X Yu, D Wang, X Liu - Proceedings of the 2024 16th International …, 2024 - dl.acm.org
In order to further improve the environmental perception capabilities of ultra-low-altitude
agricultural drones, an improved multi-objective tracking method based on QDTrack (Quasi …

Group-housed pigs tracking based on the attention mechanism

X Lu, S Fang, J Li - Proceedings of the 15th International Conference on …, 2023 - dl.acm.org
The estimation of motion behavior of group-housed pigs can be used to predict their health
condition statistically. A feasible motion detection method is to use contact sensors, such as …