This is the offical Pytorch implementation of PersPose, which estimates the 3D positions of joints from individual images. Below is the overall framework. We design Perspective Encoding (PE) to encode ...

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 ...

Learn how to safely and effectively perform camel pose (Ustrasana) with this yoga tutorial. Relieve lower back pain and improve your backbend with helpful tips and tricks. ‘Vertical morality’ might ...

Introduction: Human pose estimation is a critical challenge in computer vision, with significant implications for robotics, augmented reality, and biomedical research. Current advancements in pose ...

Kinematic and biomechanical analysis in monitoring human movement to assess athletes’ or patients’ motor control behaviors. Traditional motion capture systems provide high accuracy but are expensive ...

Abstract: D human pose estimation suffers from selfobscuration, 2D-to-3D pose mismatch, and computational complexity. 3D HPE based on complex environments is very challenging. Existing pose estimation ...

Artificial Intelligence (AI) is rapidly transforming the landscape of project management by enhancing the accuracy, efficiency, and responsiveness of key operations such as budget estimation, resource ...

Abstract: Estimating 3D human pose from 2D images in real world contexts remains a challenge, characterized by unique data constraints. Large general datasets of motion-captured 3D adult human poses ...

With technological advancements and increasing user demands, human action recognition plays a pivotal role in the field of human-computer interaction. Among various sensing devices, WiFi equipment has ...