Face Keypoint Detection Method Based on Blaze_ghost Network
The accuracy and speed of facial keypoint detection are crucial factors for effectively extracting fatigue features, such as eye blinking and yawning.
Xiaochuan Zhang +3 more
core +2 more sources
PolSAR Ship Detection Based on a SIFT-like PolSAR Keypoint Detector
The detection of ships on the open sea is an important issue for both military and civilian fields. As an active microwave imaging sensor, synthetic aperture radar (SAR) is a useful device in marine supervision.
Mingfei Gu +3 more
core +2 more sources
Accurate and efficient access to Mongolian horse body size information is an important component in the modernization of the equine industry. Aiming at the shortcomings of manual measurement methods, such as low efficiency and high risk, this study ...
Lide Su +4 more
core +2 more sources
Keypoint Detection and Description through Deep Learning in Unstructured Environments
Feature extraction plays a crucial role in computer vision and autonomous navigation, offering valuable information for real-time localization and scene understanding.
Georgios Petrakis +5 more
core +2 more sources
Deep Image Segmentation for Breast Keypoint Detection
The main aim of breast cancer conservative treatment is the optimisation of the aesthetic outcome and, implicitly, women’s quality of life, without jeopardising local cancer control and overall survival.
Jaime S. Cardoso +3 more
core +2 more sources
A Robust and Efficient Method for Effective Facial Keypoint Detection
Facial keypoint detection technology faces significant challenges under conditions such as occlusion, extreme angles, and other demanding environments.
Junhao Wang +5 more
core +2 more sources
Intelligent Deep Learning and Keypoint Tracking-Based Detection of Lameness in Dairy Cows
With the ongoing development of computer vision technologies, the automation of lameness detection in dairy cows urgently requires improvement. To address the challenges of detection difficulties and technological limitations, this paper proposes an ...
Xuhui Yang +6 more
core +2 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]
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 ...
Zwölfer M +5 more
europepmc +2 more sources
Keypoint Detection for Injury Identification during Turkey Husbandry Using Neural Networks. [PDF]
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.
Volkmann N +7 more
europepmc +2 more sources
Monitoring Cattle Ruminating Behavior Based on an Improved Keypoint Detection Model. [PDF]
Cattle rumination behavior is strongly correlated with its health. Current methods often rely on manual observation or wearable devices to monitor ruminating behavior.
Li J +5 more
europepmc +2 more sources

