Abstract: In the tasks of pose estimation and behavior analysis in computer vision, conventional models are often constrained by various factors or complex environments (such as multiple targets, ...

Abstract: We present SpineTrack, the first comprehensive dataset for 2D spine pose estimation in unconstrained settings, addressing a crucial need in sports analytics, healthcare, and realistic ...

1 Hubei Teacher Education Research Center, Hubei University of Education, Wuhan, Hubei, China 2 College of Physical Education, Xinyang Normal University, Xinyang, Henan, China Introduction: The ...

Struggling with tight hamstrings, poor posture, or lack of balance? Discover the most underrated yoga pose that targets all three! In this quick tutorial, you'll learn how to do Pyramid Pose ...

Stand taller and feel better in just 5 minutes with these Top 5 Yoga Poses for Better Posture 📏. This beginner-friendly routine helps open the chest, strengthen the back, and realign your spine — all ...

This useful study introduces a deep learning-based algorithm that tracks animal postures with reduced drift by incorporating transformers for more robust keypoint detection. The efficacy of this new ...

Human pose estimation is a cutting-edge computer vision technology that transforms visual data into actionable insights about human movement. By utilizing advanced machine learning models like ...

We introduce Any6D, a model-free framework for 6D object pose estimation that requires only a single RGB-D anchor image to estimate both the 6D pose and size of unknown objects in novel scenes. Unlike ...

Introduction: The onset of locomotion is a critical motor milestone in early childhood and increases engagement with the environment. Toddlers with neurodevelopmental disabilities often have atypical ...