For pig surveillance applications, separating touching-pigs in real-time is an important issue for a final goal of 24-hour tracking of individual pigs. Although ...
For pig surveillance applications, separating touching-pigs in real-time is an important issue for a final goal of 24-hour tracking of individual pigs. Although ...
This study improves the collective performance of accuracy-time by combining the fastest CNN-based object detection technique (ie, You Only Look Once, YOLO) ...
Sometimes, such a combination can be simplified via using lightweight object detection models (e.g., YOLO) to detect objects of concern and simple image ...
This study proposes a fast and accurate method to separate overlapping-pigs not only by exploiting the advantage of You Only Look Once, YOLO, ...
Missing: Smart Applications.
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A YOLO-based Separation of Touching-Pigs for Smart Pig Farm Applications ... A Kinect-Based Segmentation of Touching-Pigs for Real-Time Monitoring. Article.
The proposed method detects and monitors the different posture of the pig, such as sitting, standing and lying posture on real time. The datasets used for.
In this paper, we present a smart decision-support system for pig farming. Specifically, we first adopt rail-based unmanned vehicles to capture pigsty images.
Jul 2, 2021 · Chung, D. Park, and H. Kim, “A YOLO-based Separation of Touching-Pigs for Smart Pig Farm Applications,” in 2019 21st International Conference on ...
Aug 12, 2020 · A YOLO-based separation of touching-pigs for smart pig farm applications. In 21st International Conference on Advanced Communication ...