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 …
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] …
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 …
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
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 …
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 …
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 …
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
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 …
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 …
video with either fixed or moving background. In recent years, the use of deep learning for …
UAV Farmland Object Tracking Based on Improved QDTrack
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 …
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 …
condition statistically. A feasible motion detection method is to use contact sensors, such as …