Face Keypoint Detection Method Based on Blaze_ghost Network
Applied Sciences, 2023 The accuracy and speed of facial keypoint detection are crucial factors for effectively extracting fatigue features, such as eye blinking and yawning.
Ning Yu +3 more
doaj +4 more sources
Keypoint Detection for Injury Identification during Turkey Husbandry Using Neural Networks [PDF]
Sensors, 2022 Injurious pecking against conspecifics is a serious problem in turkey husbandry. Bloody injuries act as a trigger mechanism to induce further pecking, and timely detection and intervention can prevent massive animal welfare impairments and costly losses.
Nina Volkmann +7 more
doaj +4 more sources
Monitoring Cattle Ruminating Behavior Based on an Improved Keypoint Detection Model [PDF]
AnimalsCattle rumination behavior is strongly correlated with its health. Current methods often rely on manual observation or wearable devices to monitor ruminating behavior.
Jinxing Li +5 more
doaj +3 more sources
A graph-based approach can improve keypoint detection of complex poses: a proof-of-concept on injury occurrences in alpine ski racing [PDF]
Scientific Reports, 2023 For most applications, 2D keypoint detection works well and offers a simple and fast tool to analyse human movements. However, there remain many situations where even the best state-of-the-art algorithms reach their limits and fail to detect human ...
Michael Zwölfer +5 more
doaj +2 more sources
Deep learning-based 2D keypoint detection in alpine ski racing – A performance analysis of state-of-the-art algorithms applied to regular skiing and injury situations [PDF]
JSAMS Plus, 2023 Objectives: In this study, we examined the practicability of deep learning-based 2D keypoint detection applied to regular skiing and injury situations (i.e., out-of-balance situations and fall situations) on an alpine ski racing track.
Michael Zwölfer +6 more
doaj +2 more sources
Multi-scale feature fusion keypoint detection network for ship draft line localization [PDF]
Scientific ReportsIn the maritime industry, accurately detecting a ship’s draft line is crucial for ensuring transaction fairness and navigational safety. Existing deep learning-based methods for draft line detection primarily use segmentation techniques to segment the ...
Bo Zhang +3 more
doaj +2 more sources
StripePoint-YOLO: Task-Adaptive Detection of Multi-Type Weld Seam Keypoints in Noisy Industrial Welding Scenes [PDF]
SensorsTo address the difficulty in stably detecting weld seam keypoints under complex industrial interferences, such as intense arc light, spatter, reflection, and partial occlusion, this paper proposes a lightweight weld seam keypoint detection model named ...
Mingyue Yang +6 more
doaj +2 more sources
Controlled comparative study of YOLOv8-Pose, YOLOv11-Pose, and Detectron2 for vertebrae detection and keypoint estimation. [PDF]
PLoS ONEAccurate vertebrae detection with precise keypoint localization is essential for medical image analysis and clinical applications, such as spinal alignment assessment.
Avinash Bansal +2 more
doaj +2 more sources
Accurate Robot Arm Attitude Estimation Based on Multi-View Images and Super-Resolution Keypoint Detection Networks [PDF]
SensorsRobot arm monitoring is often required in intelligent industrial scenarios. A two-stage method for robot arm attitude estimation based on multi-view images is proposed.
Ling Zhou, Ruilin Wang, Liyan Zhang
doaj +2 more sources
Manipulation Planning for Object Re-Orientation Based on Semantic Segmentation Keypoint Detection. [PDF]
Sensors (Basel), 2021 Wong CC +4 more
europepmc +2 more sources